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Multiply–accumulate operation
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1	Architecture and Design David May David May 1 Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2006-06-20 03:50:56 Data types Primitive types Information Computer architecture Exabyte Central processing unit Multiply–accumulate operation 128-bit 64-bit Computer arithmetic Computing Units of information
2	Architecture and Design David May David May 1 Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2006-06-20 03:50:56 Data types Primitive types Information Computer architecture Exabyte Central processing unit Multiply–accumulate operation 128-bit 64-bit Computer arithmetic Computing Units of information
3	Some Functions Computable with a Fused-mac Sylvie Boldo and Jean-Michel Muller Laboratoire LIP (CNRS/ENS Lyon/Inria/Univ. lyon 1), Projet Ar´enaire, 46 all´ee d’Italie, 69364 Lyon Cedex 07, F RANCE Sylvie.Boldo@ens-l Add to Reading List Source URL: perso.ens-lyon.fr Language: English - Date: 2006-04-21 06:44:27 Mathematics Rounding Floating point Unit in the last place Methods of computing square roots Division Multiply–accumulate operation Computer arithmetic Arithmetic Numbers
4	Extended-Precision Floating-Point Numbers for GPU Computation Andrew Thall, Department of Computer Science, Allegheny College SUMMARY Add to Reading List Source URL: andrewthall.org Language: English - Date: 2007-05-03 23:45:19 Numbers GPGPU Floating point BrookGPU Machine epsilon IEEE 754-2008 Multiply–accumulate operation Precision Cg Computer arithmetic Computing Computer architecture
5	Matlab’s Loss is Nobody’s Gain Created Aug. 1998, revised July 31, 2004 Matlab’s Loss is Nobody’s Gain Prof. W. Kahan Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-07-31 21:34:22 Software Floating point Multiply–accumulate operation Rounding MATLAB Multiplication Lookup table Condition number Array programming Mathematics Computer arithmetic Computing
6	Advanced CUDA Optimizing to Get 20x Performance Brent Oster Outline Add to Reading List Source URL: www.nvidia.com Language: English - Date: 2008-09-17 13:31:06 Computing CUDA Nvidia Tesla FLOPS Nvidia Quadro Parallel computing Multiply–accumulate operation Nvidia Ion Floating point Nvidia Video cards Computer hardware
7	Precision and Performance: Floating Point and IEEE 754 Compliance for NVIDIA GPUs Add to Reading List Source URL: docs.nvidia.com Language: English - Date: 2015-02-18 15:11:45 Numbers Multiply–accumulate operation Floating point CUDA IEEE 754-2008 IEEE 754-1985 Single-precision floating-point format GeForce 400 Series Rounding Computer arithmetic Computing Computer architecture
8	Experience in accelerating linear algebra using GPUs Vasily Volkov UC Berkeley October 6, 2011 1 Add to Reading List Source URL: wwwsfb.tpi.uni-jena.de Language: English - Date: 2011-10-10 06:51:23 Sparse matrix Mathematics Nvidia Video cards Computing Loop nest optimization Numbers FLOPS Multiply–accumulate operation Matrix
9	Performance and Numerical Accuracy Evaluation of Heterogeneous Multicore Systems for Krylov Orthogonal Basis Computation J. Dubois CEA/DEN/DM2S/SERMA – Université De Lille – LIFL/MAP Add to Reading List Source URL: vecpar.fe.up.pt Language: English - Date: 2010-07-02 11:05:06 Linear algebra Numerical linear algebra GPGPU Graphics hardware Floating point FLOPS Multiply–accumulate operation Kernel Krylov subspace Algebra Computer arithmetic Mathematics
10	POWER Overview Rise concurrent execution branch unit fixed point unit Add to Reading List Source URL: www.hotchips.org Language: English - Date: 2013-07-27 22:44:19 Multiply–accumulate operation CPU cache 128-bit Computer architecture Computing Computer hardware Computer arithmetic Digital signal processing

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