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66-557: The first (and as of 2019 only) architectural description is for the OpenRISC 1000 ("OR1k"), describing a family of 32-bit and 64-bit processors with optional floating-point arithmetic and vector processing support. The OpenRISC 1200 implementation of this specification was designed by Damjan Lampret in 2000, written in the Verilog hardware description language (HDL). The later mor1kx implementation, which has some advantages compared to

132-404: A big.LITTLE core includes a high-performance core (called 'big') and a low-power core (called 'LITTLE'). There is also a trend towards improving energy-efficiency by focusing on performance-per-watt with advanced fine-grain or ultra fine-grain power management and dynamic voltage and frequency scaling (i.e. laptop computers and portable media players ). Chips designed from the outset for

198-459: A processor , memory , and other major system components that operate on data in 32- bit units. Compared to smaller bit widths, 32-bit computers can perform large calculations more efficiently and process more data per clock cycle. Typical 32-bit personal computers also have a 32-bit address bus , permitting up to 4 GB of RAM to be accessed, far more than previous generations of system architecture allowed. 32-bit designs have been used since

264-456: A SIMD engine and Picochip with 300 processors on a single die, focused on communication applications. In heterogeneous computing , where a system uses more than one kind of processor or cores, multi-core solutions are becoming more common: Xilinx Zynq UltraScale+ MPSoC has a quad-core ARM Cortex-A53 and dual-core ARM Cortex-R5. Software solutions such as OpenAMP are being used to help with inter-processor communication. Mobile devices may use

330-451: A big factor in mobile devices that operate on batteries. Since each core in a multi-core CPU is generally more energy-efficient, the chip becomes more efficient than having a single large monolithic core. This allows higher performance with less energy. A challenge in this, however, is the additional overhead of writing parallel code. Maximizing the usage of the computing resources provided by multi-core processors requires adjustments both to

396-413: A combination of cores. Embedded computing operates in an area of processor technology distinct from that of "mainstream" PCs. The same technological drives towards multi-core apply here too. Indeed, in many cases the application is a "natural" fit for multi-core technologies, if the task can easily be partitioned between the different processors. In addition, embedded software is typically developed for

462-448: A given time period, since individual signals can be shorter and do not need to be repeated as often. Assuming that the die can physically fit into the package, multi-core CPU designs require much less printed circuit board (PCB) space than do multi-chip SMP designs. Also, a dual-core processor uses slightly less power than two coupled single-core processors, principally because of the decreased power required to drive signals external to

528-513: A large number of cores (rather than having evolved from single core designs) are sometimes referred to as manycore designs, emphasising qualitative differences. The composition and balance of the cores in multi-core architecture show great variety. Some architectures use one core design repeated consistently ("homogeneous"), while others use a mixture of different cores, each optimized for a different, " heterogeneous " role. How multiple cores are implemented and integrated significantly affects both

594-467: A mirror surface. HDR imagery allows for the reflection of highlights that can still be seen as bright white areas, instead of dull grey shapes. A 32-bit file format is a binary file format for which each elementary information is defined on 32 bits (or 4 bytes ). An example of such a format is the Enhanced Metafile Format . Multi-core processor A multi-core processor ( MCP )

660-467: A new abstraction for C++ parallelism called TBB . Other research efforts include the Codeplay Sieve System , Cray's Chapel , Sun's Fortress , and IBM's X10 . Multi-core processing has also affected the ability of modern computational software development. Developers programming in newer languages might find that their modern languages do not support multi-core functionality. This then requires

726-405: A perceived lack of motivation for writing consumer-level threaded applications because of the relative rarity of consumer-level demand for maximum use of computer hardware. Also, serial tasks like decoding the entropy encoding algorithms used in video codecs are impossible to parallelize because each result generated is used to help create the next result of the entropy decoding algorithm. Given

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792-793: A single FPGA . Each "core" can be considered a " semiconductor intellectual property core " as well as a CPU core. While manufacturing technology improves, reducing the size of individual gates, physical limits of semiconductor -based microelectronics have become a major design concern. These physical limitations can cause significant heat dissipation and data synchronization problems. Various other methods are used to improve CPU performance. Some instruction-level parallelism (ILP) methods such as superscalar pipelining are suitable for many applications, but are inefficient for others that contain difficult-to-predict code. Many applications are better suited to thread-level parallelism (TLP) methods, and multiple independent CPUs are commonly used to increase

858-453: A single die with a unified cache, hence any two working dual-core dies can be used, as opposed to producing four cores on a single die and requiring all four to work to produce a quad-core CPU. From an architectural point of view, ultimately, single CPU designs may make better use of the silicon surface area than multiprocessing cores, so a development commitment to this architecture may carry the risk of obsolescence. Finally, raw processing power

924-543: A single physical package. Designers may couple cores in a multi-core device tightly or loosely. For example, cores may or may not share caches , and they may implement message passing or shared-memory inter-core communication methods. Common network topologies used to interconnect cores include bus , ring , two-dimensional mesh , and crossbar . Homogeneous multi-core systems include only identical cores; heterogeneous multi-core systems have cores that are not identical (e.g. big.LITTLE have heterogeneous cores that share

990-565: A specific hardware release, making issues of software portability , legacy code or supporting independent developers less critical than is the case for PC or enterprise computing. As a result, it is easier for developers to adopt new technologies and as a result there is a greater variety of multi-core processing architectures and suppliers. As of 2010 , multi-core network processors have become mainstream, with companies such as Freescale Semiconductor , Cavium Networks , Wintegra and Broadcom all manufacturing products with eight processors. For

1056-416: A supervisor mode and virtual memory system, optional read, write, and execute control for memory pages, and instructions for synchronizing and interrupt handling between multiple processors. Another notable feature is a rich set of single instruction, multiple data ( SIMD ) instructions intended for digital signal processing . Most implementations are on field-programmable gate arrays (FPGAs) which give

1122-413: A system's overall TLP. A combination of increased available space (due to refined manufacturing processes) and the demand for increased TLP led to the development of multi-core CPUs. Several business motives drive the development of multi-core architectures. For decades, it was possible to improve performance of a CPU by shrinking the area of the integrated circuit (IC), which reduced the cost per device on

1188-413: A total of 96 bits per pixel. 32-bit-per-channel images are used to represent values brighter than what sRGB color space allows (brighter than white); these values can then be used to more accurately retain bright highlights when either lowering the exposure of the image or when it is seen through a dark filter or dull reflection. For example, a reflection in an oil slick is only a fraction of that seen in

1254-399: A variety of specialty cores to run modular software scheduled by a high-level applications programming interface. [...] Atsushi Hasegawa, a senior chief engineer at Renesas , generally agreed. He suggested the cellphone's use of many specialty cores working in concert is a good model for future multi-core designs. [...] Anant Agarwal , founder and chief executive of startup Tilera , took

1320-448: Is a microprocessor on a single integrated circuit (IC) with two or more separate central processing units (CPUs), called cores to emphasize their multiplicity (for example, dual-core or quad-core ). Each core reads and executes program instructions , specifically ordinary CPU instructions (such as add, move data, and branch). However, the MCP can run instructions on separate cores at

1386-402: Is a 32-bit machine, with 32-bit registers and instructions that manipulate 32-bit quantities, but the external address bus is 36 bits wide, giving a larger address space than 4 GB, and the external data bus is 64 bits wide, primarily in order to permit a more efficient prefetch of instructions and data. Prominent 32-bit instruction set architectures used in general-purpose computing include

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1452-475: Is a reasonably simple traditional RISC architecture reminiscent of MIPS using a 3-operand load-store architecture, with 16 or 32 general-purpose registers and a fixed 32-bit instruction length. The instruction set is mostly identical between the 32- and 64-bit versions of the specification, the main difference being the register width (32 or 64 bits) and page table layout. The OpenRISC specification includes all features common to modern desktop and server processors:

1518-510: Is a significant ongoing topic of research. Cointegration of multiprocessor applications provides flexibility in network architecture design. Adaptability within parallel models is an additional feature of systems utilizing these protocols. In the consumer market, dual-core processors (that is, microprocessors with two units) started becoming commonplace on personal computers in the late 2000s. Quad-core processors were also being adopted in that era for higher-end systems before becoming standard. In

1584-421: Is described by Amdahl's law . In the best case, so-called embarrassingly parallel problems may realize speedup factors near the number of cores, or even more if the problem is split up enough to fit within each core's cache(s), avoiding use of much slower main-system memory. Most applications, however, are not accelerated as much unless programmers invest effort in refactoring . The parallelization of software

1650-630: Is not the only constraint on system performance. Two processing cores sharing the same system bus and memory bandwidth limits the real-world performance advantage. The trend in processor development has been towards an ever-increasing number of cores, as processors with hundreds or even thousands of cores become theoretically possible. In addition, multi-core chips mixed with simultaneous multithreading , memory-on-chip, and special-purpose "heterogeneous" (or asymmetric) cores promise further performance and efficiency gains, especially in processing multimedia, recognition and networking applications. For example,

1716-418: Is the 32-bit OpenRISC 1000 family (or1k). Formerly OpenRISC 1000 architecture, it has been superseded by the mainline port. Several real-time operating systems (RTOS) have been ported to OpenRISC, including NuttX , RTEMS , FreeRTOS , and eCos . Since version 1.2, QEMU supports emulating OpenRISC platforms. 32-bit In computer architecture , 32-bit computing refers to computer systems with

1782-606: The 8088/8086 or 80286 , 16-bit microprocessors with a segmented address space where programs had to switch between segments to reach more than 64 kilobytes of code or data. As this is quite time-consuming in comparison to other machine operations, the performance may suffer. Furthermore, programming with segments tend to become complicated; special far and near keywords or memory models had to be used (with care), not only in assembly language but also in high level languages such as Pascal , compiled BASIC , Fortran , C , etc. The 80386 and its successors fully support

1848-605: The GNU toolchain to OpenRISC to support development in the programming languages C and C++ . Using this toolchain the newlib , uClibc , musl (as of release 1.1.4), and glibc libraries have been ported to the processor. Dynalith provides OpenIDEA, a graphical integrated development environment (IDE) based on this toolchain. A project to port LLVM to the OpenRISC 1000 architecture began in early 2012. GCC 9 released with OpenRISC support. The OR1K project provides an instruction set simulator , or1ksim. The flagship implementation,

1914-793: The IBM System/360 , IBM System/370 (which had 24-bit addressing), System/370-XA , ESA/370 , and ESA/390 (which had 31-bit addressing), the DEC VAX , the NS320xx , the Motorola 68000 family (the first two models of which had 24-bit addressing), the Intel IA-32 32-bit version of the x86 architecture, and the 32-bit versions of the ARM , SPARC , MIPS , PowerPC and PA-RISC architectures. 32-bit instruction set architectures used for embedded computing include

1980-536: The IBM System/360 Model 30 had an 8-bit ALU, 8-bit internal data paths, and an 8-bit path to memory, and the original Motorola 68000 had a 16-bit data ALU and a 16-bit external data bus, but had 32-bit registers and a 32-bit oriented instruction set. The 68000 design was sometimes referred to as 16/32-bit . However, the opposite is often true for newer 32-bit designs. For example, the Pentium Pro processor

2046-448: The integer representation used. With the two most common representations, the range is 0 through 4,294,967,295 (2 − 1) for representation as an ( unsigned ) binary number , and −2,147,483,648 (−2 ) through 2,147,483,647 (2 − 1) for representation as two's complement . One important consequence is that a processor with 32-bit memory addresses can directly access at most 4  GiB of byte-addressable memory (though in practice

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2112-492: The operating system (OS) support and to existing application software. Also, the ability of multi-core processors to increase application performance depends on the use of multiple threads within applications. Integration of a multi-core chip can lower the chip production yields. They are also more difficult to manage thermally than lower-density single-core designs. Intel has partially countered this first problem by creating its quad-core designs by combining two dual-core ones on

2178-732: The same integrated circuit die ; separate microprocessor dies in the same package are generally referred to by another name, such as multi-chip module . This article uses the terms "multi-core" and "dual-core" for CPUs manufactured on the same integrated circuit, unless otherwise noted. In contrast to multi-core systems, the term multi-CPU refers to multiple physically separate processing-units (which often contain special circuitry to facilitate communication between each other). The terms many-core and massively multi-core are sometimes used to describe multi-core architectures with an especially high number of cores (tens to thousands ). Some systems use many soft microprocessor cores placed on

2244-533: The 16-bit segments of the 80286 but also segments for 32-bit address offsets (using the new 32-bit width of the main registers). If the base address of all 32-bit segments is set to 0, and segment registers are not used explicitly, the segmentation can be forgotten and the processor appears as having a simple linear 32-bit address space. Operating systems like Windows or OS/2 provide the possibility to run 16-bit (segmented) programs as well as 32-bit programs. The former possibility exists for backward compatibility and

2310-423: The 68000 family and ColdFire , x86, ARM, MIPS, PowerPC, and Infineon TriCore architectures. On the x86 architecture , a 32-bit application normally means software that typically (not necessarily) uses the 32-bit linear address space (or flat memory model ) possible with the 80386 and later chips. In this context, the term came about because DOS , Microsoft Windows and OS/2 were originally written for

2376-866: The A31 ARM-based SoC. Cadence Design Systems have begun using OpenRISC as a reference architecture in documenting tool chain flows (for example the UVM reference flow, now contributed to Accellera ). TechEdSat , the first NASA OpenRISC architecture based Linux computer launched in July 2012, and was deployed in October 2012 to the International Space Station with hardware provided, built, and tested by ÅAC Microtec and ÅAC Microtec North America. Being open source, OpenRISC has proved popular in academic and hobbyist circles. For example, Stefan Wallentowitz and his team at

2442-503: The IC. Alternatively, for the same circuit area, more transistors could be used in the design, which increased functionality, especially for complex instruction set computing (CISC) architectures. Clock rates also increased by orders of magnitude in the decades of the late 20th century, from several megahertz in the 1980s to several gigahertz in the early 2000s. As the rate of clock speed improvements slowed, increased use of parallel computing in

2508-828: The Institute for Integrated Systems at the Technische Universität München have used OpenRISC in research into multi-core processor architectures. The Open Source Hardware User Group ( OSHUG ) in the UK has on two occasions run sessions on OpenRISC, while hobbyist Sven-Åke Andersson has written a comprehensive blog on OpenRISC for beginners, which attracted the interest of Electronic Engineering Times ( EE Times ). Sebastian Macke has implemented jor1k, an OpenRISC 1000 emulator in JavaScript , running Linux with X Window System and Wayland support. The OpenRISC community have ported

2574-684: The OR 1200, was designed by Julius Baxter and is also written in Verilog. Additionally software simulators exist, which implement the OR1k specification. The hardware design was released under the GNU Lesser General Public License (LGPL), while the models and firmware were released under the GNU General Public License (GPL). A reference system on a chip (SoC) implementation based on

2640-622: The OR1200, is a register-transfer level (RTL) model in Verilog HDL, from which a SystemC -based cycle-accurate model can be built in ORPSoC. A high speed model of the OpenRISC 1200 is also available through the Open Virtual Platforms (OVP) initiative (see OVPsim ), set up by Imperas. The mainline Linux kernel gained support for OpenRISC in version 3.1. The implementation merged in this release

2706-721: The OpenRISC 1000 architecture, including the ORC32-1208 from ORSoC and the BA12, BA14, and BA22 from Beyond Semiconductor. Dynalith Systems provide the iNCITE FPGA prototyping board, which can run both the OpenRISC 1000 and BA12. Flextronics (Flex) and Jennic Limited manufactured the OpenRISC as part of an application-specific integrated circuit (ASIC). Samsung uses the OpenRISC 1000 in their DTV system-on-chips (SDP83 B-Series, SDP92 C-Series, SDP1001/SDP1002 D-Series, SDP1103/SDP1106 E-Series). Allwinner Technology are reported to use an OpenRISC core in their AR100 power controller, which forms part of

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2772-492: The OpenRISC 1200 was developed, named the OpenRISC Reference Platform System-on-Chip (ORPSoC). Several groups have demonstrated ORPSoC and other OR1200 based designs running on field-programmable gate arrays (FPGAs), and there have been several commercial derivatives produced. Later SoC designs, also based on an OpenRisc 1000 CPU implementation, are minSoC, OpTiMSoC and MiSoC. The instruction set

2838-662: The alternatives. An especially strong contender for established markets is the further integration of peripheral functions into the chip. The proximity of multiple CPU cores on the same die allows the cache coherency circuitry to operate at a much higher clock rate than what is possible if the signals have to travel off-chip. Combining equivalent CPUs on a single die significantly improves the performance of cache snoop (alternative: Bus snooping ) operations. Put simply, this means that signals between different CPUs travel shorter distances, and therefore those signals degrade less. These higher-quality signals allow more data to be sent in

2904-532: The chip. Furthermore, the cores share some circuitry, like the L2 cache and the interface to the front-side bus (FSB). In terms of competing technologies for the available silicon die area, multi-core design can make use of proven CPU core library designs and produce a product with lower risk of design error than devising a new wider-core design. Also, adding more cache suffers from diminishing returns. Multi-core chips also allow higher performance at lower energy. This can be

2970-430: The count can go over 10 million (and in one case up to 20 million processing elements total in addition to host processors). The improvement in performance gained by the use of a multi-core processor depends very much on the software algorithms used and their implementation. In particular, possible gains are limited by the fraction of the software that can run in parallel simultaneously on multiple cores; this effect

3036-507: The developer's programming skills and the consumer's expectations of apps and interactivity versus the device. A device advertised as being octa-core will only have independent cores if advertised as True Octa-core , or similar styling, as opposed to being merely two sets of quad-cores each with fixed clock speeds. The article "CPU designers debate multi-core future" by Rick Merritt, EE Times 2008, includes these comments: Chuck Moore [...] suggested computers should be like cellphones, using

3102-485: The earliest days of electronic computing, in experimental systems and then in large mainframe and minicomputer systems. The first hybrid 16/32-bit microprocessor , the Motorola 68000 , was introduced in the late 1970s and used in systems such as the original Apple Macintosh . Fully 32-bit microprocessors such as the HP FOCUS , Motorola 68020 and Intel 80386 were launched in the early to mid 1980s and became dominant by

3168-712: The early 1990s. This generation of personal computers coincided with and enabled the first mass-adoption of the World Wide Web . While 32-bit architectures are still widely-used in specific applications, the PC and server market has moved on to 64 bits with x86-64 and other 64-bit architectures since the mid-2000s with installed memory often exceeding the 32-bit 4G RAM address limits on entry level computers. The latest generation of smartphones have also switched to 64 bits. A 32-bit register can store 2 different values. The range of integer values that can be stored in 32 bits depends on

3234-574: The first decades of 32-bit architectures (the 1960s to the 1980s). Older 32-bit processor families (or simpler, cheaper variants thereof) could therefore have many compromises and limitations in order to cut costs. This could be a 16-bit ALU , for instance, or external (or internal) buses narrower than 32 bits, limiting memory size or demanding more cycles for instruction fetch, execution or write back. Despite this, such processors could be labeled 32-bit , since they still had 32-bit registers and instructions able to manipulate 32-bit quantities. For example,

3300-457: The form of multi-core processors has been pursued to improve overall processing performance. Multiple cores were used on the same CPU chip, which could then lead to better sales of CPU chips with two or more cores. For example, Intel has produced a 48-core processor for research in cloud computing; each core has an x86 architecture. Since computer manufacturers have long implemented symmetric multiprocessing (SMP) designs using discrete CPUs,

3366-416: The increasing emphasis on multi-core chip design, stemming from the grave thermal and power consumption problems posed by any further significant increase in processor clock speeds, the extent to which software can be multithreaded to take advantage of these new chips is likely to be the single greatest constraint on computer performance in the future. If developers are unable to design software to fully exploit

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3432-457: The issues regarding implementing multi-core processor architecture and supporting it with software are well known. Additionally: In order to continue delivering regular performance improvements for general-purpose processors, manufacturers such as Intel and AMD have turned to multi-core designs, sacrificing lower manufacturing-costs for higher performance in some applications and systems. Multi-core architectures are being developed, but so are

3498-443: The late 2010s, hexa-core (six cores) started entering the mainstream and since the early 2020s has overtaken quad-core in many spaces. The terms multi-core and dual-core most commonly refer to some sort of central processing unit (CPU), but are sometimes also applied to digital signal processors (DSP) and system on a chip (SoC). The terms are generally used only to refer to multi-core microprocessors that are manufactured on

3564-412: The latter is usually meant to be used for new software development . In digital images/pictures, 32-bit usually refers to RGBA color space ; that is, 24-bit truecolor images with an additional 8-bit alpha channel . Other image formats also specify 32 bits per pixel, such as RGBE . In digital images, 32-bit sometimes refers to high-dynamic-range imaging (HDR) formats that use 32 bits per channel,

3630-461: The limit may be lower). The world's first stored-program electronic computer , the Manchester Baby , used a 32-bit architecture in 1948, although it was only a proof of concept and had little practical capacity. It held only 32 32-bit words of RAM on a Williams tube , and had no addition operation, only subtraction. Memory, as well as other digital circuits and wiring, was expensive during

3696-492: The operating system of the network device. In digital signal processing the same trend applies: Texas Instruments has the three-core TMS320C6488 and four-core TMS320C5441, Freescale the four-core MSC8144 and six-core MSC8156 (and both have stated they are working on eight-core successors). Newer entries include the Storm-1 family from Stream Processors, Inc with 40 and 80 general purpose ALUs per chip, all programmable in C as

3762-408: The opposing view. He said multi-core chips need to be homogeneous collections of general-purpose cores to keep the software model simple. An outdated version of an anti-virus application may create a new thread for a scan process, while its GUI thread waits for commands from the user (e.g. cancel the scan). In such cases, a multi-core architecture is of little benefit for the application itself due to

3828-418: The other hand, on the server side , multi-core processors are ideal because they allow many users to connect to a site simultaneously and have independent threads of execution. This allows for Web servers and application servers that have much better throughput . Vendors may license some software "per processor". This can give rise to ambiguity, because a "processor" may consist either of a single core or of

3894-499: The possibility to iterate on the design at the cost of performance. By 2018, the OpenRISC 1000 was considered stable, so ORSoC (owner of OpenCores) began a crowdfunding project to build a cost-efficient application-specific integrated circuit (ASIC) to get improved performance. ORSoC faced criticism for this from the community. The project did not reach the goal. As of May 2024, no open-source ASIC had been produced. Several commercial organizations have developed derivatives of

3960-488: The problem, for example using a coordination language and program building blocks (programming libraries or higher-order functions). Each block can have a different native implementation for each processor type. Users simply program using these abstractions and an intelligent compiler chooses the best implementation based on the context. Managing concurrency acquires a central role in developing parallel applications. The basic steps in designing parallel applications are: On

4026-735: The resources provided by multiple cores, then they will ultimately reach an insurmountable performance ceiling. The telecommunications market had been one of the first that needed a new design of parallel datapath packet processing because there was a very quick adoption of these multiple-core processors for the datapath and the control plane. These MPUs are going to replace the traditional Network Processors that were based on proprietary microcode or picocode . Parallel programming techniques can benefit from multiple cores directly. Some existing parallel programming models such as Cilk Plus , OpenMP , OpenHMPP , FastFlow , Skandium, MPI , and Erlang can be used on multi-core platforms. Intel introduced

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4092-587: The same instruction set , while AMD Accelerated Processing Units have cores that do not share the same instruction set). Just as with single-processor systems, cores in multi-core systems may implement architectures such as VLIW , superscalar , vector , or multithreading . Multi-core processors are widely used across many application domains, including general-purpose , embedded , network , digital signal processing (DSP), and graphics (GPU). Core count goes up to even dozens, and for specialized chips over 10,000, and in supercomputers (i.e. clusters of chips)

4158-432: The same time, increasing overall speed for programs that support multithreading or other parallel computing techniques. Manufacturers typically integrate the cores onto a single IC die , known as a chip multiprocessor (CMP), or onto multiple dies in a single chip package . As of 2024, the microprocessors used in almost all new personal computers are multi-core. A multi-core processor implements multiprocessing in

4224-462: The single thread doing all the heavy lifting and the inability to balance the work evenly across multiple cores. Programming truly multithreaded code often requires complex co-ordination of threads and can easily introduce subtle and difficult-to-find bugs due to the interweaving of processing on data shared between threads (see thread-safety ). Consequently, such code is much more difficult to debug than single-threaded code when it breaks. There has been

4290-404: The system developer, a key challenge is how to exploit all the cores in these devices to achieve maximum networking performance at the system level, despite the performance limitations inherent in a symmetric multiprocessing (SMP) operating system. Companies such as 6WIND provide portable packet processing software designed so that the networking data plane runs in a fast path environment outside

4356-463: The use of numerical libraries to access code written in languages like C and Fortran , which perform math computations faster than newer languages like C# . Intel's MKL and AMD's ACML are written in these native languages and take advantage of multi-core processing. Balancing the application workload across processors can be problematic, especially if they have different performance characteristics. There are different conceptual models to deal with

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