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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] |
Intel
Intel Corporation is an American multinational corporation and technology company headquartered in Santa Clara, California, and Delaware General Corporation Law, incorporated in Delaware. Intel designs, manufactures, and sells computer components such as central processing units (CPUs) and related products for business and consumer markets. It is one of the world's List of largest semiconductor chip manufacturers, largest semiconductor chip manufacturers by revenue, and ranked in the Fortune 500, ''Fortune'' 500 list of the List of largest companies in the United States by revenue, largest United States corporations by revenue for nearly a decade, from 2007 to 2016 Fiscal year, fiscal years, until it was removed from the ranking in 2018. In 2020, it was reinstated and ranked 45th, being the List of Fortune 500 computer software and information companies, 7th-largest technology company in the ranking. It was one of the first companies listed on Nasdaq. Intel supplies List of I ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Xcode
Xcode is a suite of developer tools for building apps on Apple devices. It includes an integrated development environment (IDE) of the same name for macOS, used to develop software for macOS, iOS, iPadOS, watchOS, tvOS, and visionOS. It was initially released in late 2003; the latest stable release is version 16, released on September 16, 2024, and is available free of charge via the Mac App Store and the Apple Developer website. Registered developers can also download preview releases and prior versions of the suite through the Apple Developer website. Xcode includes command-line tools that enable UNIX-style development via the Terminal app in macOS. They can also be downloaded and installed without the GUI. Before Xcode, Apple offered developers Project Builder and Interface Builder to develop Mac OS X applications. Major features Xcode supports source code for the programming languages: Swift, C++, Objective-C, Objective-C++, Java, AppleScript, Python, Rub ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Python (programming Language)
Python is a high-level programming language, high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is type system#DYNAMIC, dynamically type-checked and garbage collection (computer science), garbage-collected. It supports multiple programming paradigms, including structured programming, structured (particularly procedural programming, procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library. Guido van Rossum began working on Python in the late 1980s as a successor to the ABC (programming language), ABC programming language, and he first released it in 1991 as Python 0.9.0. Python 2.0 was released in 2000. Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Message Passing Interface
The Message Passing Interface (MPI) is a portable message-passing standard designed to function on parallel computing architectures. The MPI standard defines the syntax and semantics of library routines that are useful to a wide range of users writing portable message-passing programs in C, C++, and Fortran. There are several open-source MPI implementations, which fostered the development of a parallel software industry, and encouraged development of portable and scalable large-scale parallel applications. History The message passing interface effort began in the summer of 1991 when a small group of researchers started discussions at a mountain retreat in Austria. Out of that discussion came a Workshop on Standards for Message Passing in a Distributed Memory Environment, held on April 29–30, 1992 in Williamsburg, Virginia. Attendees at Williamsburg discussed the basic features essential to a standard message-passing interface and established a working group to continu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Intel 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 dep ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Hot Spot (computer Science)
A hot spot in computer science is most usually defined as a region of a computer program where a high proportion of executed instructions occur or where most time is spent during the program's execution (not necessarily the same thing since some instructions are faster than others). If a program is interrupted randomly, the program counter (the pointer (computer programming), pointer to the next instruction to be executed) is frequently found to contain the address of an instruction within a certain range, possibly indicating code that is in need of optimization or even indicating the existence of a 'tight' CPU loop (computing), loop. This simple technique can detect highly used instructions, although more-sophisticated methods, such as instruction set simulators or profiling (computer programming), performance analyzers, achieve this more accurately and consistently. History of hot spot detection The computer scientist Donald Knuth described his first encounter with what he refer ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 the advanced hardware-based sampling features require an Intel-manufactured CPU. VTune is available for free as a stand-alone tool or as part of the Intel oneAPI Base Toolkit. Features ; Languages: C, C++, Data Parallel C++ (DPC++), C#, Fortran, Java, Python, Go, OpenCL, assembly and any mix. Other native programming languages that adhere to common 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 browser. See also * Intel Advisor * Intel In ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Intel Advisor
Intel Advisor (also known as "Advisor XE", "Vectorization Advisor" or "Threading Advisor") is a design assistance and analysis tool for SIMD 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 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 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 Extensions 512) on multiple objects in parallel within a single CPU core. This can grea ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Analytics Acceleration Library
oneAPI (compute acceleration), oneAPI Data Analytics Library (oneDAL; formerly Intel Data Analytics Acceleration Library or Intel DAAL), is a library (computer science), 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, Apache Spark, Spark, R (programming language), 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. Details Functional ca ... [...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 com ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Math Kernel Library
Intel oneAPI Math Kernel Library (Intel oneMKL), formerly known as Intel Math Kernel Library, 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 x86 CPUs and Intel GPUs and is available for Windows and Linux operating systems. ''Intel oneAPI Math Kernel Library'' is not to be confused with oneMKL Interfaces, an open-source wrapper library that allows DPC++ applications to call oneMKL routines that can be offloaded to multiple hardware architectures and vendors defined during runtime. History and licensing Intel launched the oneAPI Math Kernel Library in November 1994, and called it Intel BLAS Library. In 1996, the library was renamed to Intel Math Kernel Library until April 2020, when intel oneMKL has become part of oneAPI initiative to support multiple hardware architectures, holding the current name I ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Integrated Performance Primitives
Intel Integrated Performance Primitives (Intel IPP) is an extensive library of ready-to-use, domain-specific functions that are highly optimized for diverse Intel architectures. Its royalty-free APIs help developers take advantage of single instruction, multiple data (SIMD) instructions. The library supports Intel and compatible processors and is available for Linux and Windows. It is available separately or as a part oIntel oneAPI Base Toolkit Intel IPP releases use a semantic versioning scheme, so that even though the major version looks like a year (YYYY), it is not technically meant to be a year. So it might not change every calendar year. Features The library takes advantage of processor features including MMX, SSE, SSE2, SSE3, SSSE3, SSE4, AVX, AVX2, AVX-512, AES-NI, Intel Advanced Matrix Extensions (Intel AMX) and multi-core processors. Intel IPP includes functions for: * Video decode/encode * Audio decode/encode * JPEG/JPEG2000/JPEG XR * Computer vision * Data comp ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
