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SIMD
Single instruction, multiple data (SIMD) is a type of parallel computer, parallel processing in Flynn's taxonomy. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously. SIMD can be internal (part of the hardware design) and it can be directly accessible through an instruction set architecture (ISA), but it should not be confused with an ISA. Such machines exploit Data parallelism, data level parallelism, but not Concurrent computing, concurrency: there are simultaneous (parallel) computations, but each unit performs exactly the same instruction at any given moment (just with different data). A simple example is to add many pairs of numbers together, all of the SIMD units are performing an addition, but each one has different pairs of values to add. SIMD is particularly applicable to common tasks such as adjusting the contrast in a digital image or adjusting the volume of digital audio. Most modern Cen ...
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Vector Processor
In computing, a vector processor or array processor is a central processing unit (CPU) that implements an instruction set where its instructions are designed to operate efficiently and effectively on large one-dimensional arrays of data called ''vectors''. This is in contrast to scalar processors, whose instructions operate on single data items only, and in contrast to some of those same scalar processors having additional single instruction, multiple data (SIMD) or SIMD within a register (SWAR) Arithmetic Units. Vector processors can greatly improve performance on certain workloads, notably numerical simulation, compression and similar tasks. Vector processing techniques also operate in video-game console hardware and in graphics accelerators. Vector machines appeared in the early 1970s and dominated supercomputer design through the 1970s into the 1990s, notably the various Cray platforms. The rapid fall in the price-to-performance ratio of conventional microprocessor de ...
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Flynn's Taxonomy
Flynn's taxonomy is a classification of computer architectures, proposed by Michael J. Flynn in 1966 and extended in 1972. The classification system has stuck, and it has been used as a tool in the design of modern processors and their functionalities. Since the rise of multiprocessing central processing units (CPUs), a multiprogramming context has evolved as an extension of the classification system. Vector processing, covered by Duncan's taxonomy, is missing from Flynn's work because the Cray-1 was released in 1977: Flynn's second paper was published in 1972. Classifications The four initial classifications defined by Flynn are based upon the number of concurrent instruction (or control) streams and data streams available in the architecture. Flynn defined three additional sub-categories of SIMD in 1972. Single instruction stream, single data stream (SISD) A sequential computer which exploits no parallelism in either the instruction or data streams. Single control unit (CU) fet ...
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Single Instruction, Multiple Threads
Single instruction, multiple threads (SIMT) is an execution model used in parallel computing where single instruction, multiple data (SIMD) is combined with zero-overhead multithreading, i.e. multithreading where the hardware is capable of switching between threads on a cycle-by-cycle basis. There are two models of multithreading involved. In addition to the zero-overhead multithreading mentioned, the SIMD execution hardware is virtualized to represent a multiprocessor, but is inferior to a SPMD processor in that instructions in all "threads" are executed in lock-step in the lanes of the SIMD processor which can only execute the same instruction in a given cycle across all lanes. The SIMT execution model has been implemented on several GPUs and is relevant for general-purpose computing on graphics processing units (GPGPU), e.g. some supercomputer A supercomputer is a type of computer with a high level of performance as compared to a general-purpose computer. The performance ...
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Central Processing Unit
A central processing unit (CPU), also called a central processor, main processor, or just processor, is the primary Processor (computing), processor in a given computer. Its electronic circuitry executes Instruction (computing), instructions of a computer program, such as arithmetic, logic, controlling, and input/output (I/O) operations. This role contrasts with that of external components, such as main memory and I/O circuitry, and specialized coprocessors such as graphics processing units (GPUs). The form, CPU design, design, and implementation of CPUs have changed over time, but their fundamental operation remains almost unchanged. Principal components of a CPU include the arithmetic–logic unit (ALU) that performs arithmetic operation, arithmetic and Bitwise operation, logic operations, processor registers that supply operands to the ALU and store the results of ALU operations, and a control unit that orchestrates the #Fetch, fetching (from memory), #Decode, decoding and ...
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Visual Instruction Set
Visual Instruction Set, or VIS, is a SIMD instruction set extension for SPARC V9 microprocessors developed by Sun Microsystems. There are five versions of VIS: VIS 1, VIS 2, VIS 2+, VIS 3 and VIS 4. History VIS 1 was introduced in 1994 and was first implemented by Sun in their UltraSPARC microprocessor (1995) and by Fujitsu in their SPARC64 GP microprocessors (2000). VIS 2 was first implemented by the UltraSPARC III. All subsequent UltraSPARC and SPARC64 microprocessors implement the instruction set. VIS 3 was first implemented in the SPARC T4 microprocessor. VIS 4 was first implemented in the SPARC M7 microprocessor. Differences vs x86 VIS is not an instruction toolkit like Intel's MMX and SSE. MMX has only 8 registers shared with the FPU stack, while SPARC processors have 32 registers, also aliased to the double-precision (64-bit) floating point registers. As with the SIMD instruction set extensions on other RISC processors, VIS strictly conforms to the main princ ...
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Multiple Processing Elements
Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has long been employed in high-performance computing, but has gained broader interest due to the physical constraints preventing frequency scaling.S.V. Adve ''et al.'' (November 2008)"Parallel Computing Research at Illinois: The UPCRC Agenda" (PDF). Parallel@Illinois, University of Illinois at Urbana-Champaign. "The main techniques for these performance benefits—increased clock frequency and smarter but increasingly complex architectures—are now hitting the so-called power wall. The computer industry has accepted that future performance increases must largely come from increasing the number of processors (or cores) on a die, rather than mak ...
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Instruction Set Architecture
In computer science, an instruction set architecture (ISA) is an abstract model that generally defines how software controls the CPU in a computer or a family of computers. A device or program that executes instructions described by that ISA, such as a central processing unit (CPU), is called an ''implementation'' of that ISA. In general, an ISA defines the supported instructions, data types, registers, the hardware support for managing main memory, fundamental features (such as the memory consistency, addressing modes, virtual memory), and the input/output model of implementations of the ISA. An ISA specifies the behavior of machine code running on implementations of that ISA in a fashion that does not depend on the characteristics of that implementation, providing binary compatibility between implementations. This enables multiple implementations of an ISA that differ in characteristics such as performance, physical size, and monetary cost (among other things), but t ...
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Duncan's Taxonomy
Duncan's taxonomy is a classification of computer architectures, proposed by Ralph Duncan in 1990.Duncan, Ralph, "A Survey of Parallel Computer Architectures", IEEE Computer. February 1990, pp. 5-16. Duncan suggested modifications to Flynn's taxonomyFlynn, M.J., "Very High Speed Computing Systems", Proc. IEEE. Vol. 54, 1966, pp.1901-1909. to include pipelined vector processes. Taxonomy The taxonomy was developed during 1988-1990 and was first published in 1990. Its original categories are indicated below. Synchronous architectures This category includes all the parallel architectures that coordinate concurrent execution in lockstep fashion and do so via mechanisms such as global clocks, central control units or vector unit controllers. Further subdivision of this category is made primarily on the basis of the synchronization mechanism. Pipelined vector processors ''Pipelined vector processors'' are characterized by pipelined functional units that accept a sequential stream of arr ...
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Multimedia Acceleration EXtensions
The Multimedia Acceleration eXtensions or MAX are instruction set extensions to the Hewlett-Packard PA-RISC instruction set architecture (ISA). MAX was developed to improve the performance of multimedia applications that were becoming more prevalent during the 1990s. MAX instructions operate on 32- or 64-bit SIMD data type In computer science and computer programming, a data type (or simply type) is a collection or grouping of data values, usually specified by a set of possible values, a set of allowed operations on these values, and/or a representation of these ...s consisting of multiple 16-bit integers packed in general purpose registers. The available functionality includes additions, subtractions and shifts. The first version, MAX-1, was for the 32-bit PA-RISC 1.1 ISA. The second version, MAX-2, was for the 64-bit PA-RISC 2.0 ISA. Notability The approach is notable because the set of instructions is much smaller than in other multimedia CPUs, and also more genera ...
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