In computer architecture , 64-bit integers , memory addresses , or other data units are those that are 64 bits wide. Also, 64-bit central processing units (CPU) and arithmetic logic units (ALU) are those that are based on processor registers , address buses , or data buses of that size. A computer that uses such a processor is a 64-bit computer.
75-462: The Apple A12 Bionic is a 64-bit ARM-based system on a chip (SoC) designed by Apple Inc. , part of the Apple silicon series, It first appeared in the iPhone XS and XS Max , iPhone XR , iPad Air (3rd generation) , iPad Mini (5th generation) , iPad (8th generation) and Apple TV 4K (2nd generation) . Apple states that the two high-performance cores are 15% faster and 40% more energy-efficient than
150-409: A 32-bit to a 64-bit architecture is a fundamental alteration, as most operating systems must be extensively modified to take advantage of the new architecture, because that software has to manage the actual memory addressing hardware. Other software must also be ported to use the new abilities; older 32-bit software may be supported either by virtue of the 64-bit instruction set being a superset of
225-613: A virtual machine of a 16- or 32-bit operating system to run 16-bit applications or use one of the alternatives for NTVDM . Mac OS X 10.4 "Tiger" and Mac OS X 10.5 "Leopard" had only a 32-bit kernel, but they can run 64-bit user-mode code on 64-bit processors. Mac OS X 10.6 "Snow Leopard" had both 32- and 64-bit kernels, and, on most Macs, used the 32-bit kernel even on 64-bit processors. This allowed those Macs to support 64-bit processes while still supporting 32-bit device drivers; although not 64-bit drivers and performance advantages that can come with them. Mac OS X 10.7 "Lion" ran with
300-522: A "Next-generation Neural Engine." This neural network hardware has eight cores and can perform up to 5 trillion 8-bit operations per second. Unlike the A11's Neural Engine, third-party apps can access the A12's Neural Engine. The A12 is manufactured by TSMC using a 7 nm FinFET process, the first to ship in a consumer product, containing 6.9 billion transistors. The die size of the A12 is 83.27 mm, 5% smaller than
375-711: A 16 MiB ( 16 × 1024 bytes ) address space. 32-bit superminicomputers , such as the DEC VAX , became common in the 1970s, and 32-bit microprocessors, such as the Motorola 68000 family and the 32-bit members of the x86 family starting with the Intel 80386 , appeared in the mid-1980s, making 32 bits something of a de facto consensus as a convenient register size. A 32-bit address register meant that 2 addresses, or 4 GB of random-access memory (RAM), could be referenced. When these architectures were devised, 4 GB of memory
450-423: A 32- or 64-bit Java virtual machine with no modification. The lengths and precision of all the built-in types, such as char , short , int , long , float , and double , and the types that can be used as array indices, are specified by the standard and are not dependent on the underlying architecture. Java programs that run on a 64-bit Java virtual machine have access to a larger address space. Speed
525-605: A 64-bit kernel on more Macs, and OS X 10.8 "Mountain Lion" and later macOS releases only have a 64-bit kernel. On systems with 64-bit processors, both the 32- and 64-bit macOS kernels can run 32-bit user-mode code, and all versions of macOS up to macOS Mojave (10.14) include 32-bit versions of libraries that 32-bit applications would use, so 32-bit user-mode software for macOS will run on those systems. The 32-bit versions of libraries have been removed by Apple in macOS Catalina (10.15). Linux and most other Unix-like operating systems, and
600-539: A 7-wide decode out-of-order superscalar design, while the Tempest cores are a 3-wide decode out-of-order superscalar design. Like the A11's Mistral cores, the Tempest cores are based on Apple's Swift cores from the Apple A6 . The A12 also integrates an Apple-designed four-core graphics processing unit (GPU) with 50% faster graphics performance than the A11. The A12 includes dedicated neural network hardware that Apple calls
675-423: A better mathematician than Dr. Einstein , simply because he had more endurance. The googolplex is, then, a specific finite number, equal to 1 with a googol zeros after it. John Horton Conway and Richard K. Guy have suggested that N-plex be used as a name for 10 . This gives rise to the name googolplexplex for 10 = 10 . Conway and Guy have proposed that N-minex be used as a name for 10 , giving rise to
750-774: A driver for a 32-bit PCI device asking the device to DMA data into upper areas of a 64-bit machine's memory could not satisfy requests from the operating system to load data from the device to memory above the 4 gigabyte barrier, because the pointers for those addresses would not fit into the DMA registers of the device. This problem is solved by having the OS take the memory restrictions of the device into account when generating requests to drivers for DMA, or by using an input–output memory management unit (IOMMU). As of August 2023 , 64-bit architectures for which processors are being manufactured include: Most architectures of 64 bits that are derived from
825-449: A generation of computers in which 64-bit processors are the norm. 64 bits is a word size that defines certain classes of computer architecture, buses, memory, and CPUs and, by extension, the software that runs on them. 64-bit CPUs have been used in supercomputers since the 1970s ( Cray-1 , 1975) and in reduced instruction set computers (RISC) based workstations and servers since the early 1990s. In 2003, 64-bit CPUs were introduced to
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#1732855519517900-484: A given process and can have implications for efficient processor cache use. Maintaining a partial 32-bit model is one way to handle this, and is in general reasonably effective. For example, the z/OS operating system takes this approach, requiring program code to reside in 31-bit address spaces (the high order bit is not used in address calculation on the underlying hardware platform) while data objects can optionally reside in 64-bit regions. Not all such applications require
975-743: A large address space or manipulate 64-bit data items, so these applications do not benefit from these features. x86-based 64-bit systems sometimes lack equivalents of software that is written for 32-bit architectures. The most severe problem in Microsoft Windows is incompatible device drivers for obsolete hardware. Most 32-bit application software can run on a 64-bit operating system in a compatibility mode , also termed an emulation mode, e.g., Microsoft WoW64 Technology for IA-64 and AMD64. The 64-bit Windows Native Mode driver environment runs atop 64-bit NTDLL.DLL , which cannot call 32-bit Win32 subsystem code (often devices whose actual hardware function
1050-439: A naming system to its logical conclusion—or extending it further. The words bymillion and trimillion were first recorded in 1475 in a manuscript of Jehan Adam . Subsequently, Nicolas Chuquet wrote a book Triparty en la science des nombres which was not published during Chuquet's lifetime. However, most of it was copied by Estienne de La Roche for a portion of his 1520 book, L'arismetique . Chuquet's book contains
1125-428: A passage in which he shows a large number marked off into groups of six digits, with the comment: Ou qui veult le premier point peult signiffier million Le second point byllion Le tiers point tryllion Le quart quadrillion Le cinq quyllion Le six sixlion Le sept. septyllion Le huyt ottyllion Le neuf nonyllion et ainsi des ault' se plus oultre on vouloit preceder (Or if you prefer the first mark can signify million,
1200-521: A problem. 64-bit drivers were not provided for many older devices, which could consequently not be used in 64-bit systems. Driver compatibility was less of a problem with open-source drivers, as 32-bit ones could be modified for 64-bit use. Support for hardware made before early 2007, was problematic for open-source platforms, due to the relatively small number of users. 64-bit versions of Windows cannot run 16-bit software . However, most 32-bit applications will work well. 64-bit users are forced to install
1275-413: A processor with 64-bit memory addresses can directly access 2 bytes (16 exabytes or EB) of byte-addressable memory. With no further qualification, a 64-bit computer architecture generally has integer and addressing registers that are 64 bits wide, allowing direct support for 64-bit data types and addresses. However, a CPU might have external data buses or address buses with different sizes from
1350-421: A second"—although often powers of ten are used instead of some of the very high and very low prefixes. In some cases, specialized units are used, such as the astronomer's parsec and light year or the particle physicist's barn . Nevertheless, large numbers have an intellectual fascination and are of mathematical interest, and giving them names is one way people try to conceptualize and understand them. One of
1425-405: A single integer register can store the memory address to any location in the computer's physical or virtual memory . Therefore, the total number of addresses to memory is often determined by the width of these registers. The IBM System/360 of the 1960s was an early 32-bit computer; it had 32-bit integer registers, although it only used the low order 24 bits of a word for addresses, resulting in
1500-421: A still larger number: "googolplex". A googolplex is much larger than a googol, but is still finite, as the inventor of the name was quick to point out. It was first suggested that a googolplex should be 1, followed by writing zeros until you got tired. This is a description of what would happen if one tried to write a googolplex, but different people get tired at different times and it would never do to have Carnera
1575-446: A tenuous, artificial existence, rarely found outside definitions, lists, and discussions of how large numbers are named. Even well-established names like sextillion are rarely used, since in the context of science, including astronomy, where such large numbers often occur, they are nearly always written using scientific notation . In this notation, powers of ten are expressed as 10 with a numeric superscript, e.g. "The X-ray emission of
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#17328555195171650-408: A trillion are rarely used in practice; such large numbers have practical usage primarily in the scientific domain, where powers of ten are expressed as 10 with a numeric superscript. However, these somewhat rare names are considered acceptable for approximate statements. For example, the statement "There are approximately 7.1 octillion atoms in an adult human body" is understood to be in short scale of
1725-514: Is an abbreviation of "Long, Pointer, 64". Other models are the ILP64 data model in which all three data types are 64 bits wide, and even the SILP64 model where short integers are also 64 bits wide. However, in most cases the modifications required are relatively minor and straightforward, and many well-written programs can simply be recompiled for the new environment with no changes. Another alternative
1800-792: Is certainly in widespread use in languages other than English, but the degree of actual use of the larger terms is questionable. The terms "milliardo" in Italian, "Milliarde" in German, "miljard" in Dutch, "milyar" in Turkish, and "миллиард," milliard (transliterated) in Russian, are standard usage when discussing financial topics. The naming procedure for large numbers is based on taking the number n occurring in 10 (short scale) or 10 (long scale) and concatenating Latin roots for its units, tens, and hundreds place, together with
1875-483: Is emulated in user mode software, like Winprinters). Because 64-bit drivers for most devices were unavailable until early 2007 (Vista x64), using a 64-bit version of Windows was considered a challenge. However, the trend has since moved toward 64-bit computing, more so as memory prices dropped and the use of more than 4 GB of RAM increased. Most manufacturers started to provide both 32-bit and 64-bit drivers for new devices, so unavailability of 64-bit drivers ceased to be
1950-413: Is not the only factor to consider in comparing 32-bit and 64-bit processors. Applications such as multi-tasking, stress testing, and clustering – for high-performance computing (HPC) – may be more suited to a 64-bit architecture when deployed appropriately. For this reason, 64-bit clusters have been widely deployed in large organizations, such as IBM, HP, and Microsoft. Summary: A common misconception
2025-441: Is often written with implicit assumptions about the widths of data types. C code should prefer ( u ) intptr_t instead of long when casting pointers into integer objects. A programming model is a choice made to suit a given compiler, and several can coexist on the same OS. However, the programming model chosen as the primary model for the OS application programming interface (API) typically dominates. Another consideration
2100-504: Is often, but not always, based on 64-bit units of data. For example, although the x86 / x87 architecture has instructions able to load and store 64-bit (and 32-bit) floating-point values in memory, the internal floating-point data and register format is 80 bits wide, while the general-purpose registers are 32 bits wide. In contrast, the 64-bit Alpha family uses a 64-bit floating-point data and register format, and 64-bit integer registers. Many computer instruction sets are designed so that
2175-551: Is sometimes attributed to French mathematician Jacques Peletier du Mans c. 1550 (for this reason, the long scale is also known as the Chuquet-Peletier system), but the Oxford English Dictionary states that the term derives from post-Classical Latin term milliartum , which became milliare and then milliart and finally our modern term. Concerning names ending in -illiard for numbers 10 , milliard
2250-418: Is that 64-bit architectures are no better than 32-bit architectures unless the computer has more than 4 GB of random-access memory . This is not entirely true: The main disadvantage of 64-bit architectures is that, relative to 32-bit architectures, the same data occupies more space in memory (due to longer pointers and possibly other types, and alignment padding). This increases the memory requirements of
2325-489: Is the IBM AS/400 , software for which is compiled into a virtual instruction set architecture (ISA) called Technology Independent Machine Interface (TIMI); TIMI code is then translated to native machine code by low-level software before being executed. The translation software is all that must be rewritten to move the full OS and all software to a new platform, as when IBM transitioned the native instruction set for AS/400 from
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2400-503: Is the LLP64 model, which maintains compatibility with 32-bit code by leaving both int and long as 32-bit. LL refers to the long long integer type, which is at least 64 bits on all platforms, including 32-bit environments. There are also systems with 64-bit processors using an ILP32 data model, with the addition of 64-bit long long integers; this is also used on many platforms with 32-bit processors. This model reduces code size and
2475-400: Is the data model used for device drivers . Drivers make up the majority of the operating system code in most modern operating systems (although many may not be loaded when the operating system is running). Many drivers use pointers heavily to manipulate data, and in some cases have to load pointers of a certain size into the hardware they support for direct memory access (DMA). As an example,
2550-451: The Apple A11 's, and the four high-efficiency cores use 50% less power than the A11's. It is the first mass-market system on a chip to be built using the 7 nm process. The Apple A12 SoC features an Apple-designed 64-bit ARMv8.3-A six-core CPU, with two high-performance cores called Vortex , running at 2.49 GHz, and four energy-efficient cores called Tempest . The Vortex cores are
2625-633: The Apple Watch Series 4 and 5. Many 64-bit platforms today use an LP64 model (including Solaris, AIX , HP-UX , Linux, macOS, BSD, and IBM z/OS). Microsoft Windows uses an LLP64 model. The disadvantage of the LP64 model is that storing a long into an int truncates. On the other hand, converting a pointer to a long will "work" in LP64. In the LLP64 model, the reverse is true. These are not problems which affect fully standard-compliant code, but code
2700-513: The C and C++ toolchains for them, have supported 64-bit processors for many years. Many applications and libraries for those platforms are open-source software , written in C and C++, so that if they are 64-bit-safe, they can be compiled into 64-bit versions. This source-based distribution model, with an emphasis on frequent releases, makes availability of application software for those operating systems less of an issue. In 32-bit programs, pointers and data types such as integers generally have
2775-460: The Cray-1 , used registers up to 64 bits wide, and supported 64-bit integer arithmetic, although they did not support 64-bit addressing. In the mid-1980s, Intel i860 development began culminating in a 1989 release; the i860 had 32-bit integer registers and 32-bit addressing, so it was not a fully 64-bit processor, although its graphics unit supported 64-bit integer arithmetic. However, 32 bits remained
2850-889: The Nintendo 64 and the PlayStation 2 had 64-bit microprocessors before their introduction in personal computers. High-end printers, network equipment, and industrial computers also used 64-bit microprocessors, such as the Quantum Effect Devices R5000 . 64-bit computing started to trickle down to the personal computer desktop from 2003 onward, when some models in Apple 's Macintosh lines switched to PowerPC 970 processors (termed G5 by Apple), and Advanced Micro Devices (AMD) released its first 64-bit x86-64 processor. Physical memory eventually caught up with 32 bit limits. In 2023, laptop computers were commonly equipped with 16GB and servers up to 64 GB of memory, greatly exceeding
2925-448: The 1,000,003rd "-illion" number, equals one "millinillitrillion"; 10 , the 11,000,670,036th "-illion" number, equals one "undecillinilliseptuagintasescentillisestrigintillion"; and 10 , the 9,876,543,210th "-illion" number, equals one "nonilliseseptuagintaoctingentillitresquadragintaquingentillideciducentillion". The following table shows number names generated by
3000-521: The 32-bit instruction set, so that processors that support the 64-bit instruction set can also run code for the 32-bit instruction set, or through software emulation , or by the actual implementation of a 32-bit processor core within the 64-bit processor, as with some Itanium processors from Intel, which included an IA-32 processor core to run 32-bit x86 applications. The operating systems for those 64-bit architectures generally support both 32-bit and 64-bit applications. One significant exception to this
3075-833: The 32-bit limit of 4 GB ( 4 × 1024 bytes ), allowing room for later expansion and incurring no overhead of translating full 64-bit addresses. The Power ISA v3.0 allows 64 bits for an effective address, mapped to a segmented address with between 65 and 78 bits allowed, for virtual memory, and, for any given processor, up to 60 bits for physical memory. The Oracle SPARC Architecture 2015 allows 64 bits for virtual memory and, for any given processor, between 40 and 56 bits for physical memory. The ARM AArch64 Virtual Memory System Architecture allows 48 bits for virtual memory and, for any given processor, from 32 to 48 bits for physical memory. The DEC Alpha specification requires minimum of 43 bits of virtual memory address space (8 TB) to be supported, and hardware need to check and trap if
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3150-655: The 4 GB address capacity of 32 bits. In principle, a 64-bit microprocessor can address 16 EB ( 16 × 1024 = 2 = 18,446,744,073,709,551,616 bytes ) of memory. However, not all instruction sets, and not all processors implementing those instruction sets, support a full 64-bit virtual or physical address space. The x86-64 architecture (as of 2016 ) allows 48 bits for virtual memory and, for any given processor, up to 52 bits for physical memory. These limits allow memory sizes of 256 TB ( 256 × 1024 bytes ) and 4 PB ( 4 × 1024 bytes ), respectively. A PC cannot currently contain 4 petabytes of memory (due to
3225-690: The A11. It is manufactured in a package on package (PoP) together with 4 GiB of LPDDR4X memory in the iPhone XS and XS Max and 3 GB of LPDDR4X memory in the iPhone XR, the iPad Air (2019), the 5th generation iPad mini, and the iPad (2020). The ARMv8.3 instruction set it supports brings a significant security improvement in the form of pointer authentication, which mitigates exploitation techniques such as those involving memory corruption, Jump-Oriented-Programming, and Return-Oriented-Programming . The A12 has video codec encoding support for HEVC and H.264 . It has decoding support for HEVC, H.264, MPEG‑4 Part 2 , and Motion JPEG . 64-bit computing From
3300-453: The Imagination in the following passage: The name "googol" was invented by a child (Dr. Kasner's nine-year-old nephew) who was asked to think up a name for a very big number, namely 1 with one hundred zeroes after it. He was very certain that this number was not infinite, and therefore equally certain that it had to have a name. At the same time that he suggested "googol" he gave a name for
3375-432: The earliest examples of this is The Sand Reckoner , in which Archimedes gave a system for naming large numbers. To do this, he called the numbers up to a myriad myriad (10 ) "first numbers" and called 10 itself the "unit of the second numbers". Multiples of this unit then became the second numbers, up to this unit taken a myriad myriad times, 10 ·10 =10 . This became the "unit of the third numbers", whose multiples were
3450-445: The extension of this system indefinitely to provide English short-scale names for any integer whatsoever. The name of a number 10 , where n is greater than or equal to 1000, is formed by concatenating the names of the numbers of the form 10 , where m represents each group of comma-separated digits of n , with each but the last "-illion" trimmed to "-illi-", or, in the case of m = 0, either "-nilli-" or "-nillion". For example, 10 ,
3525-572: The financial world (and by the US dollar ), this was adopted for official United Nations documents. Traditional French usage has varied; in 1948, France, which had originally popularized the short scale worldwide, reverted to the long scale. The term milliard is unambiguous and always means 10 . It is seldom seen in American usage and rarely in British usage, but frequently in continental European usage. The term
3600-625: The mainstream PC market in the form of x86-64 processors and the PowerPC G5 . A 64-bit register can hold any of 2 (over 18 quintillion or 1.8×10 ) different values. The range of integer values that can be stored in 64 bits depends on the integer representation used. With the two most common representations, the range is 0 through 18,446,744,073,709,551,615 (equal to 2 − 1) for representation as an ( unsigned ) binary number , and −9,223,372,036,854,775,808 (−2 ) through 9,223,372,036,854,775,807 (2 − 1) for representation as two's complement . Hence,
3675-539: The mid-1990s, HAL Computer Systems , Sun Microsystems , IBM , Silicon Graphics , and Hewlett-Packard had developed 64-bit architectures for their workstation and server systems. A notable exception to this trend were mainframes from IBM, which then used 32-bit data and 31-bit address sizes; the IBM mainframes did not include 64-bit processors until 2000. During the 1990s, several low-cost 64-bit microprocessors were used in consumer electronics and embedded applications. Notably,
3750-698: The name googolminex for the reciprocal of a googolplex, which is written as 10 ) . None of these names are in wide use. The names googol and googolplex inspired the name of the Internet company Google and its corporate headquarters , the Googleplex , respectively. This section illustrates several systems for naming large numbers, and shows how they can be extended past vigintillion . Traditional British usage assigned new names for each power of one million (the long scale ): 1,000,000 = 1 million ; 1,000,000 = 1 billion ; 1,000,000 = 1 trillion ; and so on. It
3825-476: The name of a significantly larger number was used in 2024, when the Russian news outlet RBK stated that the sum of legal claims against Google in Russia totalled 2 undecillion (2 x 10 ) rubles , or US $ 20 decillion (US $ 2 x 10 ); a value worth more than all financial assets in the world combined. A Kremlin spokesperson, Dmitry Peskov , stated that this value was symbolic. Names of larger numbers, however, have
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#17328555195173900-454: The names of large numbers have been forced into common usage as a result of hyperinflation . The highest numerical value banknote ever printed was a note for 1 sextillion pengő (10 or 1 milliard bilpengő as printed) printed in Hungary in 1946. In 2009, Zimbabwe printed a 100 trillion (10 ) Zimbabwean dollar note, which at the time of printing was worth about US$ 30. In global economics,
3975-693: The naming pattern ( unvigintillion , duovigintillion , duoquinquagintillion , etc.). All of the dictionaries included googol and googolplex , generally crediting it to the Kasner and Newman book and to Kasner's nephew (see below). None include any higher names in the googol family (googolduplex, etc.). The Oxford English Dictionary comments that googol and googolplex are "not in formal mathematical use". Some names of large numbers, such as million , billion , and trillion , have real referents in human experience, and are encountered in many contexts, particularly in finance and economics. At times,
4050-409: The norm until the early 1990s, when the continual reductions in the cost of memory led to installations with amounts of RAM approaching 4 GB, and the use of virtual memory spaces exceeding the 4 GB ceiling became desirable for handling certain types of problems. In response, MIPS and DEC developed 64-bit microprocessor architectures, initially for high-end workstation and server machines. By
4125-402: The number of grains of sand that would be required to fill the known universe, and found that it was no more than "one thousand myriad of the eighth numbers" (10 ). Since then, many others have engaged in the pursuit of conceptualizing and naming numbers that have no existence outside the imagination. One motivation for such a pursuit is that attributed to the inventor of the word googol , who
4200-763: The older 32/48-bit IMPI to the newer 64-bit PowerPC-AS , codenamed Amazon . The IMPI instruction set was quite different from even 32-bit PowerPC, so this transition was even bigger than moving a given instruction set from 32 to 64 bits. On 64-bit hardware with x86-64 architecture (AMD64), most 32-bit operating systems and applications can run with no compatibility issues. While the larger address space of 64-bit architectures makes working with large data sets in applications such as digital video , scientific computing, and large databases easier, there has been considerable debate on whether they or their 32-bit compatibility modes will be faster than comparably priced 32-bit systems for other tasks. A compiled Java program can run on
4275-428: The other types of registers cannot. The size of these registers therefore normally limits the amount of directly addressable memory, even if there are registers, such as floating-point registers, that are wider. Most high performance 32-bit and 64-bit processors (some notable exceptions are older or embedded ARM architecture (ARM) and 32-bit MIPS architecture (MIPS) CPUs) have integrated floating point hardware, which
4350-420: The physical size of the memory chips), but AMD envisioned large servers, shared memory clusters, and other uses of physical address space that might approach this in the foreseeable future. Thus the 52-bit physical address provides ample room for expansion while not incurring the cost of implementing full 64-bit physical addresses. Similarly, the 48-bit virtual address space was designed to provide 65,536 (2 ) times
4425-454: The radio galaxy is 1.3 × 10 joules ." When a number such as 10 needs to be referred to in words, it is simply read out as "ten to the forty-fifth" or "ten to the forty-five". This is easier to say and less ambiguous than "quattuordecillion", which means something different in the long scale and the short scale. When a number represents a quantity rather than a count, SI prefixes can be used—thus " femtosecond ", not "one quadrillionth of
4500-578: The registers, even larger (the 32-bit Pentium had a 64-bit data bus, for instance). Processor registers are typically divided into several groups: integer , floating-point , single instruction, multiple data (SIMD), control , and often special registers for address arithmetic which may have various uses and names such as address , index , or base registers . However, in modern designs, these functions are often performed by more general purpose integer registers. In most processors, only integer or address-registers can be used to address data in memory;
4575-547: The remaining unsupported bits are zero (to support compatibility on future processors). Alpha 21064 supported 43 bits of virtual memory address space (8 TB) and 34 bits of physical memory address space (16 GB). Alpha 21164 supported 43 bits of virtual memory address space (8 TB) and 40 bits of physical memory address space (1 TB). Alpha 21264 supported user-configurable 43 or 48 bits of virtual memory address space (8 TB or 256 TB) and 44 bits of physical memory address space (16 TB). A change from
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#17328555195174650-471: The same architecture of 32 bits can execute code written for the 32-bit versions natively, with no performance penalty. This kind of support is commonly called bi-arch support or more generally multi-arch support . Quintillion Two naming scales for large numbers have been used in English and other European languages since the early modern era: the long and short scales . Most English variants use
4725-486: The same length. This is not necessarily true on 64-bit machines. Mixing data types in programming languages such as C and its descendants such as C++ and Objective-C may thus work on 32-bit implementations but not on 64-bit implementations. In many programming environments for C and C-derived languages on 64-bit machines, int variables are still 32 bits wide, but long integers and pointers are 64 bits wide. These are described as having an LP64 data model , which
4800-483: The same reasoning as Conway and Guy did for the numbers up to nonillion, could probably be used to form acceptable prefixes. The Conway–Guy system for forming prefixes: Since the system of using Latin prefixes will become ambiguous for numbers with exponents of a size which the Romans rarely counted to, like 10 , Conway and Guy co-devised with Allan Wechsler the following set of consistent conventions that permit, in principle,
4875-581: The second mark byllion, the third mark tryllion, the fourth quadrillion, the fifth quyillion, the sixth sixlion, the seventh septyllion, the eighth ottyllion, the ninth nonyllion and so on with others as far as you wish to go). Adam and Chuquet used the long scale of powers of a million; that is, Adam's bymillion (Chuquet's byllion ) denoted 10 , and Adam's trimillion (Chuquet's tryllion ) denoted 10 . The names googol and googolplex were invented by Edward Kasner 's nephew Milton Sirotta and introduced in Kasner and Newman's 1940 book Mathematics and
4950-475: The short scale today, but the long scale remains dominant in many non-English-speaking areas, including continental Europe and Spanish -speaking countries in Latin America . These naming procedures are based on taking the number n occurring in 10 (short scale) or 10 (long scale) and concatenating Latin roots for its units, tens, and hundreds place, together with the suffix -illion . Names of numbers above
5025-448: The size of data structures containing pointers, at the cost of a much smaller address space, a good choice for some embedded systems. For instruction sets such as x86 and ARM in which the 64-bit version of the instruction set has more registers than does the 32-bit version, it provides access to the additional registers without the space penalty. It is common in 64-bit RISC machines, explored in x86 as x32 ABI , and has recently been used in
5100-510: The software perspective, 64-bit computing means the use of machine code with 64-bit virtual memory addresses. However, not all 64-bit instruction sets support full 64-bit virtual memory addresses; x86-64 and AArch64 for example, support only 48 bits of virtual address, with the remaining 16 bits of the virtual address required to be all zeros (000...) or all ones (111...), and several 64-bit instruction sets support fewer than 64 bits of physical memory address. The term 64-bit also describes
5175-446: The suffix -illion . In this way, numbers up to 10 = 10 (short scale) or 10 = 10 (long scale) may be named. The choice of roots and the concatenation procedure is that of the standard dictionary numbers if n is 9 or smaller. For larger n (between 10 and 999), prefixes can be constructed based on a system described by Conway and Guy. Today, sexdecillion and novemdecillion are standard dictionary numbers and, using
5250-403: The table below (and is only accurate if referring to short scale rather than long scale). Indian English does not use millions, but has its own system of large numbers including lakhs (Anglicised as lacs) and crores . English also has many words, such as "zillion", used informally to mean large but unspecified amounts; see indefinite and fictitious numbers . Usage: Apart from million ,
5325-738: The third numbers, and so on. Archimedes continued naming numbers in this way up to a myriad myriad times the unit of the 10 -th numbers, i.e. ( 10 8 ) ( 10 8 ) = 10 8 ⋅ 10 8 , {\displaystyle (10^{8})^{(10^{8})}=10^{8\cdot 10^{8}},} and embedded this construction within another copy of itself to produce names for numbers up to ( ( 10 8 ) ( 10 8 ) ) ( 10 8 ) = 10 8 ⋅ 10 16 . {\displaystyle ((10^{8})^{(10^{8})})^{(10^{8})}=10^{8\cdot 10^{16}}.} Archimedes then estimated
5400-428: The words in this list ending with - illion are all derived by adding prefixes ( bi -, tri -, etc., derived from Latin) to the stem - illion . Centillion appears to be the highest name ending in -"illion" that is included in these dictionaries. Trigintillion , often cited as a word in discussions of names of large numbers, is not included in any of them, nor are any of the names that can easily be created by extending
5475-417: Was adapted from French usage, and is similar to the system that was documented or invented by Chuquet . Traditional American usage (which was also adapted from French usage but at a later date), Canadian, and modern British usage assign new names for each power of one thousand (the short scale ). Thus, a billion is 1000 × 1000 = 10 ; a trillion is 1000 × 1000 = 10 ; and so forth. Due to its dominance in
5550-412: Was certain that any finite number "had to have a name". Another possible motivation is competition between students in computer programming courses, where a common exercise is that of writing a program to output numbers in the form of English words. Most names proposed for large numbers belong to systematic schemes which are extensible. Thus, many names for large numbers are simply the result of following
5625-416: Was so far beyond the typical amounts (4 MiB) in installations, that this was considered to be enough headroom for addressing. 4.29 billion addresses were considered an appropriate size to work with for another important reason: 4.29 billion integers are enough to assign unique references to most entities in applications like databases . Some supercomputer architectures of the 1970s and 1980s, such as
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