Threading Building Blocks
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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 ...
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Intel
Intel Corporation is an American multinational corporation and technology company headquartered in Santa Clara, California. It is the world's largest semiconductor chip manufacturer by revenue, and is one of the developers of the x86 series of instruction sets, the instruction sets found in most personal computers (PCs). Incorporated in Delaware, Intel ranked No. 45 in the 2020 ''Fortune'' 500 list of the largest United States corporations by total revenue for nearly a decade, from 2007 to 2016 fiscal years. Intel supplies microprocessors for computer system manufacturers such as Acer, Lenovo, HP, and Dell. Intel also manufactures motherboard chipsets, network interface controllers and integrated circuits, flash memory, graphics chips, embedded processors and other devices related to communications and computing. Intel (''int''egrated and ''el''ectronics) was founded on July 18, 1968, by semiconductor pioneers Gordon Moore (of Moore's law) and Robert Noyce ( ...
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Polymorphism In Object-oriented Programming
In programming language theory and type theory, polymorphism is the provision of a single interface to entities of different types or the use of a single symbol to represent multiple different types.: "Polymorphic types are types whose operations are applicable to values of more than one type." The concept is borrowed from a principle in biology where an organism or species can have many different forms or stages. The most commonly recognized major classes of polymorphism are: * ''Ad hoc polymorphism'': defines a common interface for an arbitrary set of individually specified types. * ''Parametric polymorphism'': not specifying concrete types and instead use abstract symbols that can substitute for any type. * ''Subtyping'' (also called ''subtype polymorphism'' or ''inclusion polymorphism''): when a name denotes instances of many different classes related by some common superclass. History Interest in polymorphic type systems developed significantly in the 1960s, with practic ...
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Intel VTune Amplifier
VTune Profiler (formerly VTune Amplifier) is a performance analysis tool for x86 based machines running Linux or Microsoft Windows operating systems. Many features work on both Intel and AMD hardware, but advanced hardware-based sampling requires an Intel-manufactured CPU. VTune is available for free as a stand-alone tool or as part of the Intel oneAPI Base Toolkit. Optional paid priority support is available for the oneAPI Base Toolkit. __NOTOC__ Features ; Languages: C, C++, Data Parallel C++ (DPC++), C#, Fortran, Java, Python, Go, OpenCL, assembly and any mix. Other native languages that follow standards can also be profiled. ; Profiles:Profiles include algorithm, microarchitecture, parallelism, I/O, system, thermal throttling and accelerators (GPU and FPGA). ; Local, Remote, Server : VTune supports local and remote performance profiling.  It can be run as an application with a graphical interface, as a command line or as a server accessible by multiple users via a web brow ...
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Intel Parallel Inspector
Intel Inspector (previously known as Intel Thread Checker) is a memory and thread checking and debugging tool to increase the reliability, security, and accuracy of C/C++ and Fortran applications. * Reliability: Find deadlocks and memory errors that cause lockups & crashes * Security: Find memory and threading vulnerabilities used by hackers * Accuracy: Identify memory corruption and race conditions to eliminate erroneous results The nondeterministic nature of threading errors makes it hard to reproduce. Intel Inspector detects and locates threading errors that include race conditions, deadlocks, depth configurable call stack analysis, diagnostic guidance, built-in knowledge of Threading Building Blocks (TBB), OpenMP, and POSIX or Win32 threads. Memory checking includes memory leaks, dangling pointers, uninitialized variables, use of invalid memory references, mismatched memory, allocation and deallocation, stack memory checks, and stack trace with controllable stack trace depth ...
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Intel Parallel Advisor
Intel Advisor (also known as "Advisor XE", "Vectorization Advisor" or "Threading Advisor") is a design assistance and analysis tool for SIMD Automatic vectorization, vectorization, threading, memory use, and GPU offload optimization. The tool supports C, C++, Data Parallel C++ (DPC++), Fortran and Python languages. It is available on Windows and Linux operating systems in form of Standalone GUI tool, Microsoft Visual Studio plug-in or command line interface. It supports OpenMP (and usage with Message Passing Interface, MPI). Intel Advisor user interface is also available on macOS. Intel Advisor is available for free as a stand-alone tool or as part of the Intel oneAPI (compute acceleration), oneAPI Base Toolkit. Optional paid commercial support is available for the oneAPI Base Toolkit. Features Vectorization optimization Vectorization is the operation of Single Instruction Multiple Data (SIMD) instructions (like Intel Advanced Vector Extensions and Intel Advanced Vector Extens ...
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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 applications. Core math functions include BLAS, LAPACK, ScaLAPACK, sparse solvers, fast Fourier transforms, and vector math. The library supports Intel processors and is available for Windows, Linux and macOS operating systems. ''Intel oneAPI Math Kernel Library'' is not to be confused with ''oneAPI Math Kernel Library'' (oneMKL) Interfaces, a piece of open-source glue code that allows Intel MKL routines to be used from Data Parallel C++. History and licensing Intel launched the Math Kernel Library on May 9, 2003, and called it blas.lib. The project's development teams are located in Russia and the United States. The library was available in a standalone form, free of charge under the terms of Intel Simplified Software License which allow redistribution. Since April 2020, MKL has become part of oneAPI ...
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Data Analytics Library
oneAPI Data Analytics Library (oneDAL; formerly Intel Data Analytics Acceleration Library or Intel DAAL), is a library of optimized algorithmic building blocks for data analysis stages most commonly associated with solving Big Data problems. The library supports Intel processors and is available for Windows, Linux and macOS operating systems. The library is designed for use popular data platforms including Hadoop, Spark, R, and Matlab. History Intel launched the Intel Data Analytics Library(oneDAL) on December 8, 2020. It also launched the Data Analytics Acceleration Library on August 25, 2015 and called it Intel Data Analytics Acceleration Library 2016 (Intel DAAL 2016). oneDAL is bundled with Intel oneAPI Base Toolkit as a commercial product. A standalone version is available commercially or freely, the only difference being support and maintenance related. License Apache License 2.0 Details Functional categories Intel DAAL has the following algorithms: *Analysis **Low Ord ...
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Integrated Performance Primitives
Intel Integrated Performance Primitives (Intel IPP) is a multi-threaded software library of functions for multimedia and data processing applications, produced by Intel. The library supports Intel and compatible processors and is available for Linux, macOS, Windows and Android (operating system), Android operating systems. It is available separately or as a part oIntel oneAPI Base Toolkit Features The library takes advantage of processor features including MMX (instruction set), MMX, Streaming SIMD Extensions, SSE, SSE2, SSE3, SSSE3, SSE4, Advanced Vector Extensions, AVX, Advanced Vector Extensions, AVX2, AVX-512, AES-NI and multi-core processors. Intel IPP includes functions for: *Video codec, Video decode/encode *Audio codec, Audio decode/encode *JPEG/JPEG2000/JPEG XR *Computer vision *Cryptography *Data compression *Color management, Image color conversion *Image processing *Ray tracing (graphics), Ray tracing and Rendering (computer graphics), Rendering *Signal processing *Sp ...
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Mutual Exclusion
In computer science, mutual exclusion is a property of concurrency control, which is instituted for the purpose of preventing race conditions. It is the requirement that one thread of execution never enters a critical section while a concurrent thread of execution is already accessing said critical section, which refers to an interval of time during which a thread of execution accesses a shared resource or shared memory. The shared resource is a data object, which two or more concurrent threads are trying to modify (where two concurrent read operations are permitted but, no two concurrent write operations or one read and one write are permitted, since it leads to data inconsistency). Mutual exclusion algorithm ensures that if a process is already performing write operation on a data object ritical sectionno other process/thread is allowed to access/modify the same object until the first process has finished writing upon the data object ritical sectionand released the object fo ...
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Container (data Structure)
In computer programming, a collection is a grouping of some variable number of data items (possibly zero) that have some shared significance to the problem being solved and need to be operated upon together in some controlled fashion. Generally, the data items will be of the same type or, in languages supporting inheritance, derived from some common ancestor type. A collection is a concept applicable to abstract data types, and does not prescribe a specific implementation as a concrete data structure, though often there is a conventional choice (see Container for type theory discussion). Examples of collections include lists, sets, multisets, trees and graphs. Fixed-size arrays (or tables) are usually not considered a collection because they hold a fixed number of data items, although they commonly play a role in the implementation of collections. Variable-size arrays are generally considered collections. Linear collections Many collections define a particular linear ordering, ...
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Data Race
A race condition or race hazard is the condition of an electronics, software, or other system where the system's substantive behavior is dependent on the sequence or timing of other uncontrollable events. It becomes a bug when one or more of the possible behaviors is undesirable. The term ''race condition'' was already in use by 1954, for example in David A. Huffman's doctoral thesis "The synthesis of sequential switching circuits". Race conditions can occur especially in logic circuits, multithreaded, or distributed software programs. In electronics A typical example of a race condition may occur when a logic gate combines signals that have traveled along different paths from the same source. The inputs to the gate can change at slightly different times in response to a change in the source signal. The output may, for a brief period, change to an unwanted state before settling back to the designed state. Certain systems can tolerate such glitches but if this output function ...
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