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Intel Parallel Building Blocks
Intel Parallel Building Blocks (PBB) was a collection of three programming solutions designed for multithreaded parallel computing. PBB consisted of Cilk Plus, Threading Building Blocks (TBB) and Intel Array Building Blocks (ArBB). Intel. Retrieved on 2010-09-14. See also * * Intel Concurrent Collections (CnC) * |
Imperative Programming
In computer science, imperative programming is a programming paradigm of software that uses statements that change a program's state. In much the same way that the imperative mood in natural languages expresses commands, an imperative program consists of commands for the computer to perform. Imperative programming focuses on describing ''how'' a program operates step by step, rather than on high-level descriptions of its expected results. The term is often used in contrast to declarative programming, which focuses on ''what'' the program should accomplish without specifying all the details of ''how'' the program should achieve the result. Imperative and procedural programming Procedural programming is a type of imperative programming in which the program is built from one or more procedures (also termed subroutines or functions). The terms are often used as synonyms, but the use of procedures has a dramatic effect on how imperative programs appear and how they are construct ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Intel Array Building Blocks
Intel Array Building Blocks (also known as ArBB) was a C++ library developed by Intel Corporation for exploiting data parallel portions of programs to take advantage of multi-core processors, graphics processing units and Intel Many Integrated Core Architecture processors. ArBB provides a generalized vector parallel programming solution designed to avoid direct dependencies on particular low-level parallelism mechanisms or hardware architectures. ArBB is oriented to applications that require data-intensive mathematical computations. By default, ArBB programs cannot create data races or deadlocks. History Intel Ct was a parallel programming model developed by Intel in 2007 for its future multi-core processors as part of the Tera-Scale research program. In April 2009, Intel announced that "Ct sto appear in programmer tools by end of the year". On August 19, 2009, Intel acquired RapidMind, a privately held company founded and headquartered in Waterloo, Ontario, Canada. In Septemb ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Concurrent Programming Languages
Concurrent computing is a form of computing in which several computations are executed '' concurrently''—during overlapping time periods—instead of ''sequentially—''with one completing before the next starts. This is a property of a system—whether a program, computer, or a network—where there is a separate execution point or "thread of control" for each process. A ''concurrent system'' is one where a computation can advance without waiting for all other computations to complete. Concurrent computing is a form of modular programming. In its paradigm an overall computation is factored into subcomputations that may be executed concurrently. Pioneers in the field of concurrent computing include Edsger Dijkstra, Per Brinch Hansen, and C.A.R. Hoare. Introduction The concept of concurrent computing is frequently confused with the related but distinct concept of parallel computing, Pike, Rob (2012-01-11). "Concurrency is not Parallelism". ''Waza conference'', 11 Januar ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Intel Developer Zone
The Intel Developer Zone is an international online program designed by Intel to encourage and support independent software vendors in developing applications for Intel hardware and software products. This support is provided for the key stages of the business life cycle from planning to development and in various forms: web sites, newsletters, developer conferences, trade media, and blogs. Products supported through Intel Developer Zone include support for multiprocessor offerings like Intel Threading Building Blocks (Intel TBB) and Intel Parallel Studio, as well as programming tools like Intel's compiler products ( Intel C++ Compiler and Intel Fortran Compiler) and Intel VTune Amplifier, and libraries like Intel Integrated Performance Primitives (Intel IPP) and Intel Math Kernel Library Intel oneAPI Math Kernel Library (Intel oneMKL; formerly Intel Math Kernel Library or Intel MKL) is a library of optimized math routines for science, engineering, and financial applicatio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Intel Concurrent Collections
Concurrent Collections (known as CnC) is a programming model for software frameworks to expose parallelism in applications. The Concurrent Collections conception originated from tagged stream processing development with HP TStreams. TStreams Around 2003, Hewlett-Packard Cambridge Research Lab developed ''TStreams'', a stream processing forerunner of the basic concepts of CnC. Concurrent Collections for C++ ''Concurrent Collections for C++'' is an open source C++ template library developed by Intel for implementing parallel CnC applications in C++ with shared and/or distributed memory. Habanero CnC Rice University has developed various CnC language implementations based on their ''Habanero'' project infrastructure. See also * Stream processing * Flow-based programming (FBP) * Tuple space * Functional reactive programming (FRP) * Linda (coordination language) * Threading Building Blocks (TBB) * Cilk/Cilk Plus * Intel Parallel Studio Intel Parallel Studio XE was a software devel ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Intel Parallel Studio
Intel Parallel Studio XE was a software development product developed by Intel that facilitated native code development on Windows, macOS and Linux in C++ and Fortran for parallel computing. Parallel programming enables software programs to take advantage of multi-core processors from Intel and other processor vendors. Intel Parallel Studio XE was rebranded and repackaged by Intel wheoneAPI toolkitswere released in December 2020. Intel oneAPI Base Toolkit + Intel oneAPI HPC toolkit contain all the tools in Parallel Studio XE and more. One significant addition is a Data Parallel C++ (DPC++) compiler designed to allow developers to reuse code across hardware targets (CPUs and accelerators such as GPUs and FPGAs). Components Parallel Studio is composed of several component parts, each of which is a collection of capabilities. * Intel C++ Compiler with OpenMP * Intel Fortran Compiler with OpenMP * IDE plug-in integration with Visual Studio, Eclipse and Xcode * Debugging via ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Parallel Computing
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 tha ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Thread (computer Science)
In computer science, a thread of execution is the smallest sequence of programmed instructions that can be managed independently by a scheduler, which is typically a part of the operating system. The implementation of threads and processes differs between operating systems. In Modern Operating Systems, Tanenbaum shows that many distinct models of process organization are possible.TANENBAUM, Andrew S. Modern Operating Systems. 1992. Prentice-Hall International Editions, ISBN 0-13-595752-4. In many cases, a thread is a component of a process. The multiple threads of a given process may be executed concurrently (via multithreading capabilities), sharing resources such as memory, while different processes do not share these resources. In particular, the threads of a process share its executable code and the values of its dynamically allocated variables and non- thread-local global variables at any given time. History Threads made an early appearance under the name of "ta ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Threading Building Blocks
oneAPI Threading Building Blocks (oneTBB; formerly Threading Building Blocks or TBB), is a C++ template library developed by Intel for parallel programming on multi-core processors. Using TBB, a computation is broken down into tasks that can run in parallel. The library manages and schedules threads to execute these tasks. Overview A oneTBB program creates, synchronizes, and destroys graphs of dependent tasks according to ''algorithms'', i.e. high-level parallel programming paradigms (a.k.a. Algorithmic Skeletons). Tasks are then executed respecting graph dependencies. This approach groups TBB in a family of techniques for parallel programming aiming to decouple the programming from the particulars of the underlying machine. oneTBB implements work stealing to balance a parallel workload across available processing cores in order to increase core utilization and therefore scaling. Initially, the workload is evenly divided among the available processor cores. If one core compl ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Procedural Programming
Procedural programming is a programming paradigm, derived from imperative programming, based on the concept of the '' procedure call''. Procedures (a type of routine or subroutine) simply contain a series of computational steps to be carried out. Any given procedure might be called at any point during a program's execution, including by other procedures or itself. The first major procedural programming languages appeared circa 1957–1964, including Fortran, ALGOL, COBOL, PL/I and BASIC. Pascal and C were published circa 1970–1972. Computer processors provide hardware support for procedural programming through a stack register and instructions for calling procedures and returning from them. Hardware support for other types of programming is possible, but no attempt was commercially successful (for example Lisp machines or Java processors). Procedures and modularity Modularity is generally desirable, especially in large, complicated programs. Inputs are usually ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cilk Plus
Cilk, Cilk++, Cilk Plus and OpenCilk are general-purpose programming languages designed for multithreaded parallel computing. They are based on the C and C++ programming languages, which they extend with constructs to express parallel loops and the fork–join idiom. Originally developed in the 1990s at the Massachusetts Institute of Technology (MIT) in the group of Charles E. Leiserson, Cilk was later commercialized as Cilk++ by a spinoff company, Cilk Arts. That company was subsequently acquired by Intel, which increased compatibility with existing C and C++ code, calling the result Cilk Plus. After Intel stopped supporting Cilk Plus in 2017, MIT is again developing Cilk in the form of OpenCilk. History MIT Cilk The Cilk programming language grew out of three separate projects at the MIT Laboratory for Computer Science: * Theoretical work on scheduling multi-threaded applications. * StarTech – a parallel chess program built to run on the Thinking Machines Corporati ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Manifest Typing
In computer science, manifest typing is explicit identification by the software programmer of the ''type'' of each variable being declared. For example: if variable ''X'' is going to store integers then its ''type'' must be declared as integer. The term "manifest typing" is often used with the term latent typing to describe the difference between the static, compile-time type membership of the object and its run-time type identity. In contrast, some programming languages use ''implicit typing'' (a.k.a. type inference) where the type is deduced from context at compile-time or allow for dynamic typing in which the variable is just declared and may be assigned a value of any type at runtime. Examples Consider the following example written in the C programming language: #include int main(void) Note that the variables ''s'', ''x'', and ''y'' were declared as a character array, floating point number, and an integer, respectively. The type system rejects, at compile-time, such fall ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
