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OpenBLAS
OpenBLAS is an open-source implementation of the BLAS (Basic Linear Algebra Subprograms) and LAPACK APIs with many hand-crafted optimizations for specific processor types. It is developed at the Lab of Parallel Software and Computational Science, ISCAS. OpenBLAS adds optimized implementations of linear algebra kernels for several processor architectures, including Intel Sandy Bridge and Loongson. It claims to achieve performance comparable to the Intel MKL. On machines that support the AVX2 instruction set, OpenBLAS can achieve similar performance to MKL, but there are currently almost no open source libraries comparable to MKL on CPUs with the AVX512 instruction set. OpenBLAS is a fork of GotoBLAS2, which was created by Kazushige Goto at the Texas Advanced Computing Center. History and present OpenBLAS was developed by the parallel software group led by Professor Yunquan Zhang from the Chinese Academy of Sciences. OpenBLAS was initially only for the Loongson CPU platfo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Basic Linear Algebra Subprograms
Basic Linear Algebra Subprograms (BLAS) is a specification (technical standard), specification that prescribes a set of low-level routines for performing common linear algebra operations such as vector space, vector addition, scalar multiplication, dot products, linear combinations, and matrix multiplication. They are the ''de facto'' standard low-level routines for linear algebra libraries; the routines have bindings for both C (programming language), C ("CBLAS interface") and Fortran ("BLAS interface"). Although the BLAS specification is general, BLAS implementations are often optimized for speed on a particular machine, so using them can bring substantial performance benefits. BLAS implementations will take advantage of special floating point hardware such as vector registers or SIMD instructions. It originated as a Fortran library in 1979* and its interface was standardized by the BLAS Technical (BLAST) Forum, whose latest BLAS report can be found on the netlib website. This ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
LAPACK
LAPACK ("Linear Algebra Package") is a standard software library for numerical linear algebra. It provides routines for solving systems of linear equations and linear least squares, eigenvalue problems, and singular value decomposition. It also includes routines to implement the associated matrix factorizations such as LU, QR, Cholesky and Schur decomposition. LAPACK was originally written in FORTRAN 77, but moved to Fortran 90 in version 3.2 (2008). The routines handle both real and complex matrices in both single and double precision. LAPACK relies on an underlying BLAS implementation to provide efficient and portable computational building blocks for its routines. LAPACK was designed as the successor to the linear equations and linear least-squares routines of LINPACK and the eigenvalue routines of EISPACK. LINPACK, written in the 1970s and 1980s, was designed to run on the then-modern vector computers with shared memory. LAPACK, in contrast, was designed to eff ... [...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] |
BLIS (software)
In scientific computing, BLIS (BLAS-like Library Instantiation Software) is an open-source framework for implementing a superset of BLAS (Basic Linear Algebra Subprograms) functionality for specific processor types that was awarded the J. H. Wilkinson Prize for Numerical Software in 2023. It exposes that functionality through two traditional Application Programming Interfaces (APIs): the BLAS interface and the CBLAS interface. BLIS also includes two APIs native to the framework: a typed (BLAS-like) API and an object API. These native interfaces provide access to BLAS-like functionality that is not supported by, but closely related to, operations found in the BLAS (and CBLAS). The framework is developed and supported by the Science of High-Performance Computing (SHPC) group of the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin and the Matthews Research Group at Southern Methodist University. BLIS yields high performance on many c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
GotoBLAS
In Computational science, scientific computing, GotoBLAS and GotoBLAS2 are Open source software, open source implementations of the BLAS (Basic Linear Algebra Subprograms) Application programming interface, API with many hand-crafted optimizations for specific Central processing unit, processor types. GotoBLAS was developed by Kazushige Goto at the Texas Advanced Computing Center. , it was used in seven of the world's ten fastest supercomputers. GotoBLAS remains available, but development ceased with a final version touting optimal performance on Intel's Nehalem (microarchitecture), Nehalem architecture (contemporary in 2008). OpenBLAS is an actively maintained fork of GotoBLAS, developed at the Lab of Parallel Software and Computational Science, Institute of Software, Chinese Academy of Sciences, ISCAS. GotoBLAS was written by Goto during his sabbatical leave from the Japan Patent Office in 2002. It was initially optimized for the Pentium 4 processor and managed to immediately b ... [...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] |
Kazushige Goto
is a software engineer specializing in high performance, hand-written, machine code. Education Goto was a research associate at the Texas Advanced Computing Center at the University of Texas at Austin when he wrote his famously hand-optimized assembly routines for supercomputing and PC platforms that outperform the best compiler generated code. Several of the fastest supercomputers in the world still use his implementation of the Basic Linear Algebra Subprograms (BLAS) known as GotoBLAS. Career In 2010, Goto joined Microsoft's Technical Computing Group with the title of Senior Researcher. In July 2012, he joined 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 compo ... with the title of Software Engineer. Goto continues to write hand-optimized machine code, utilizing detai ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Numerical Linear Algebra
Numerical linear algebra, sometimes called applied linear algebra, is the study of how matrix operations can be used to create computer algorithms which efficiently and accurately provide approximate answers to questions in continuous mathematics. It is a subfield of numerical analysis, and a type of linear algebra. Computers use floating-point arithmetic and cannot exactly represent irrational data, so when a computer algorithm is applied to a matrix of data, it can sometimes increase the difference between a number stored in the computer and the true number that it is an approximation of. Numerical linear algebra uses properties of vectors and matrices to develop computer algorithms that minimize the error introduced by the computer, and is also concerned with ensuring that the algorithm is as efficient as possible. Numerical linear algebra aims to solve problems of continuous mathematics using finite precision computers, so its applications to the natural and social scienc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Automatically Tuned Linear Algebra Software
Automatically Tuned Linear Algebra Software (ATLAS) is a software library for linear algebra. It provides a mature open source implementation of BLAS APIs for C and FORTRAN 77. ATLAS is often recommended as a way to automatically generate an optimized BLAS library. While its performance often trails that of specialized libraries written for one specific hardware platform, it is often the first or even only optimized BLAS implementation available on new systems and is a large improvement over the generic BLAS available at Netlib. For this reason, ATLAS is sometimes used as a performance baseline for comparison with other products. ATLAS runs on most Unix-like operating systems and on Microsoft Windows (using Cygwin). It is released under a BSD-style license without advertising clause, and many well-known mathematics applications including MATLAB, Mathematica, Scilab, SageMath, and some builds of GNU Octave may use it. Functionality ATLAS provides a full implementation of th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Texas Advanced Computing Center
The Texas Advanced Computing Center (TACC) at the University of Texas at Austin, United States, is an advanced computing research center that is based on comprehensive advanced computing resources and supports services to researchers in Texas and across the U.S. The mission of TACC is to enable discoveries that advance science and society through the application of advanced computing technologies. Specializing in high-performance computing, scientific visualization, data analysis and storage systems, software, research and development, and portal interfaces, TACC deploys and operates advanced computational infrastructure to enable the research activities of faculty, staff, and students of UT Austin. TACC also provides consulting, technical documentation, and training to support researchers who use these resources. TACC staff members conduct research and development in applications and algorithms, computing systems design/architecture, and programming tools and environments. Found ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Loongson
Loongson () is the name of a family of general-purpose, MIPS architecture-compatible, later in-house LoongArch architecture central processing unit, microprocessors, as well as the name of the Chinese Fabless manufacturing, fabless company (Loongson Technology) that develops them. The processors are alternately called Godson processors, which is described as its academic name. History The ''Godson'' processors, based on MIPS architecture, were initially developed at the ''Institute of Computing Technology'' (ICT), Chinese Academy of Sciences (CAS). The chief architect was . The development of the first Loongson chip was started in 2001. The aim of the Godson project was to develop "high performance general-purpose microprocessors in China", and to become technologically self-sufficient as part of the Made in China 2025 plan. The development was supported by funding via the Chinese Communist Party's Tenth five-year plan (China), 10th and Eleventh five-year plan (China), 11th Five ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sandy Bridge
Sandy Bridge is the List of Intel codenames, codename for Intel's 32 nm process, 32 nm microarchitecture used in the second generation of the Intel Core, Intel Core processors (Intel Core i7, Core i7, Intel Core i5, i5, Intel Core i3, i3). The Sandy Bridge microarchitecture is the successor to Nehalem (microarchitecture), Nehalem and Westmere (microarchitecture), Westmere microarchitecture. Intel demonstrated an A1 stepping Sandy Bridge processor in 2009 during Intel Developer Forum (IDF), and released first products based on the architecture in January 2011 under the Intel Core#Sandy Bridge microarchitecture based, Core brand. Sandy Bridge is manufactured in the 32 nanometer, 32 nm process and has a soldered contact with the die and IHS (Integrated Heat Spreader), while Intel's subsequent generation Ivy Bridge (microarchitecture), Ivy Bridge uses a 22 nanometer, 22 nm die shrink and a TIM (Thermal Interface Material) between the die and the IHS. Technology Intel demonstrated a S ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
