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1 Fast implementation of DGEMM on Fermi GPU - IEEE Xplore
https://ieeexplore.ieee.org/document/6114452
by G Tan · 2011 · Cited by 148 —
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2 Fast implementation of DGEMM on Fermi GPU
https://dl.acm.org/doi/10.1145/2063384.2063431
by G Tan · 2011 · Cited by 148 —
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3 dgemm - Fast Double Precision Matrix Matrix Multiply - GitHub
https://github.com/cappachu/dgemm
Fast Double Precision Matrix Matrix Multiply (DGEMM) for square matrices. Optimizations. GCC compiler flags for a Cray XE6 supercomputer; Memory Alignment ...
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4 Fast implementation of DGEMM on Fermi GPU | Scinapse
https://www.scinapse.io/papers/2090593986
› papers
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5 Which dgemm call is the fastest? - fortran - Stack Overflow
https://stackoverflow.com/questions/56166280/which-dgemm-call-is-the-fastest
It does not seem logical to me why c) should be fastest, because either 'N','N' is faster than 'T','N' or the other way around. Either way, a) ...
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6 (PDF) Fast implementation of DGEMM on Fermi GPU
https://www.researchgate.net/publication/220782466_Fast_implementation_of_DGEMM_on_Fermi_GPU
Fermi's micro-architecture and going deeply into a fast. DGEMM implementation. DGEMM is a pronoun of general. double-precision matrix-matrix ...
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7 Improving the Performance of DGEMM with MoA and Cache ...
https://www.nrel.gov/docs/fy22osti/80232.pdf
Numerical linear algebra computations in general require fast matrix multiplication for a variety of algorithms. These include op- timization, data compression ...
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8 DGEMM Using Tensor Cores, and Its Accurate ... - Springer Link
https://link.springer.com/chapter/10.1007/978-3-030-50743-5_12
Our results reveal the possibility of utilizing hardware with limited FP32/FP64 resources and fast low-precision processing units (such as AI- ...
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9 Multiplying Matrices Using dgemm - Intel
https://www.intel.com/content/www/us/en/develop/documentation/mkl-tutorial-c/top/multiplying-matrices-using-dgemm.html
› develop › mkl-tutorial-c › top
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10 Fast Implementation of DGEMM on Fermi GPU - Jia Xu
http://jiaxu.org/tutorialhpc/src/pdf/papers/tp28.pdf
Fermi's micro-architecture and going deeply into a fast. DGEMM implementation. DGEMM is a pronoun of general double-precision matrix-matrix multiplication ...
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11 MKL (s/d/c/z)GEMM: how we can improve their performance
https://www.ics.uci.edu/~paolo/FastMM/FMM-Reference/reference.html
In practice, we achieve an execution time that is faster than any algorithm based on the classic N^3 algorithm. DGEMM: Double Precision General Matrix ...
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12 LAPACK: dgemm - The Netlib
https://netlib.org/lapack/explore-html/d1/d54/group__double__blas__level3_gaeda3cbd99c8fb834a60a6412878226e1.html
DGEMM performs one of the matrix-matrix operations C := alpha*op( A )*op( B ) + beta*C, where op( X ) is ... 267* Quick return if possible.
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13 Design and implementation of fast DGEMM on GPUs
https://pos.sissa.it/202/067/
Design and implementation of fast DGEMM on GPUs. G. Tan. Full text: Not available. How to cite. Metadata are provided both in "article" format (very similar ...
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14 Effective Implementation of DGEMM on ... - ScienceDirect.com
https://www.sciencedirect.com/science/article/pii/S1877050912001354/pdf?md5=abf7b97b09199a1c272adaf45e07f4e0&pid=1-s2.0-S1877050912001354-main.pdf
controller, integrated PCIe 3.0 as well as a faster QPI interface improve overall platform ... comparison with Intel Math Kernel Library DGEMM subroutine.
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15 dgemm - Arm Performance Libraries Reference Guide
https://developer.arm.com/documentation/101004/2202/BLAS-Basic-Linear-Algebra-Subprograms/BLAS-level-3/dgemm
dgemm performs one of the matrix-matrix operations ... use armpl_library subroutine dgemm(TRANSA, TRANSB, M, N, K, ALPHA, A, LDA, B, LDB, BETA, C, LDC).
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16 Parallel Computers : Project 1 - Cornell CS
https://www.cs.cornell.edu/~bindel/class/cs5220-f11/proj1.html
Your group should submit your dgemm.c , your Makefile (which should ... Roughly speaking, a fast matrix multiplication routine will likely ...
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17 ATLAS Timings
https://math-atlas.sourceforge.net/timing/
The following table gives a rough estimate of ATLAS's asymptotic DGEMM performance as a ... Note that these numbers reflect asymptotic DGEMM speed only, ...
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18 A Multidimensional Tensor Multiplication procedure (MTM).
http://www.csc.lsu.edu/~gb/TCE/Writeups/MN_MTM_procedure.pdf
DGEMM subroutine we can essentially change the index that runs fastest. Elementary contractions of two multidimensional tensors can always be formulated in ...
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19 DGEMM Benchmark
https://groups.google.com/g/julia-dev/c/hJl7dxr21uw
I believe that the Julia way here would be to use the Julia interfaces into the fast BLAS implementation on your computer. A.
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20 Optimizing Matrix Multiply (Summer 2002)--Due 6/25
https://bebop.cs.berkeley.edu/notes/matmul2002/
... use of standard libraries is an important skill in building fast programs! ... You need to write a dgemm.c that contains a function with the following C ...
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21 Fastest and most used math library for Intel - ICL UTK
https://icl.utk.edu/bblas/sc18/files/Intel_MKL_SC18_BatchedBlas_BOF_v1.pdf
Enabled for: DGEMM, SGEMM; in an upcoming release: ZGEMM, CGEMM. Compact APIs (since Intel MKL 2018). •. Enables vectorization over very small matrix ...
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22 DGEMM using Tensor Cores - WordPress.com
https://nlagrouporg.files.wordpress.com/2021/03/cse21_mukunoki.pdf
special processing units for fast low-precision (16-bit floating-point) operations. ▻ E.g., FP16 on NVIDIA Tensor Cores, BF16 on Google ...
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23 [PDF] DGEMM Using Tensor Cores, and Its Accurate and ...
https://www.semanticscholar.org/paper/DGEMM-Using-Tensor-Cores%2C-and-Its-Accurate-and-Mukunoki-Ozaki/cb96496812e3cb5d524c88e9481d3fcba7cd8cad
Our results reveal the possibility of utilizing hardware with limited FP32/FP64 resources and fast low-precision processing units (such as ...
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24 Multi-level Optimization of Matrix Multiplication for GPU ...
https://cyberleninka.org/article/n/1048600.pdf
[8] have also reported a fast DGEMM kernel for Cypress GPU with the equivalent performance to the Nakasato's kernel. In this paper, we demonstrate our ...
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25 1 Introduction - UT Computer Science
https://www.cs.utexas.edu/users/flame/pubs/FLAWN7.ps.gz
They all implement outer loops around a fast inner kernel. ATLAS [14] ... Here, we de ne peak speed as not the peak speed DGEMM is.
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26 DM818 Assignment Project 1: Optimize Matrix Multiplication
https://imada.sdu.dk/~daniel/DM818-2017/Assignments/mand1/
Your task is to optimize matrix multiplication code to run fast on a single ... You need to write a dgemm.c that implements this semantics and exposes it ...
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27 A Framework for Practical Parallel Fast Matrix Multiplication
https://www.osti.gov/servlets/purl/1315143
show that several fast algorithms can outperform the Intel Math. Kernel Library (MKL) dgemm (double precision general matrix-.
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28 Using the Intel® Math Kernel Library for Matrix Multiplication
https://sites.cs.ucsb.edu/~tyang/class/240a17/slides/intel-mkl-gemm.pdf
The quick execution of the dgemm routine makes it difficult to measure its speed, even for an operation on a large matrix. For this reason, the exercises ...
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29 Fast implementation of DGEMM on Fermi GPU
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006114452
› yadda › element › bwmeta1.el...
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30 Accelerating GPU Applications with NVIDIA Math Libraries
https://developer.nvidia.com/blog/accelerating-gpu-applications-with-nvidia-math-libraries/
Replacing the OpenBLAS CPU code with the cuBLAS API function on the GPU yields a 19.2x speed-up in the DGEMM computation, where A, B, ...
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31 A Fast GEMM Implementation On a Cypress GPU
https://www.dcs.warwick.ac.uk/~sdh/pmbs10/pmbs10/Workshop_Programme_files/fastgemm.pdf
Currently, our SGEMM and DGEMM kernels are fastest with one GPU chip to our knowledge. Furthermore, the performance of our matrix multiply kernel in DDP is ...
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32 ECS289K Project A, Fall 2003 - UC Davis Computer Science
https://www.cs.ucdavis.edu/~bai/ECS289K/projectA.htm
Optimize/tune sequential code for square matrix multiply (aka dgemm: C = C + ... use of standard libraries is an important skill in building fast programs!
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33 AMD Core Math Library (ACML)
http://developer.amd.com/wordpress/media/2012/10/ACML_archive_release_notes.pdf
Fast Malloc is now enabled by default, with no need to set an environment variable. ... Improved dgemm performance for small to medium problem sizes.
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34 Assignment 1 - Prof. Marco Alvarez
https://homepage.cs.uri.edu/~malvarez/teaching/csc-415/ha-1/
Your task is to optimize matrix multiplication to run fast on a single ... is the dgemm (double-precision general matrix-matrix multiply) ...
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35 DGEMM using tensor cores, and its accurate and reproducible ...
https://shibaura.pure.elsevier.com/en/publications/dgemm-using-tensor-cores-and-its-accurate-and-reproducible-versio
Our results reveal the possibility of utilizing hardware with limited FP32/FP64 resources and fast low-precision processing units (such as AI-oriented ...
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36 Accurate Matrix Multiplication on Binary128 using Ozaki Scheme
https://www.isc-hpc.com/download/poster/post107ondemand0
A fast accurate matrix multiplication method on binary128 matrices on CPUs using ... computations using DGEMM; a good performance can be.
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37 Tutorial: OpenCL SGEMM tuning for Kepler - Cedric Nugteren
https://cnugteren.github.io/tutorial/pages/page13.html
Fast Implementation of DGEMM on Fermi GPU. G. Tan, L. Li, S. · Performance Upper Bound Analysis and Optimisation of SGEMM on Fermi and Kepler GPUs. J. Lai and A.
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38 Implementing a Code Generator for Fast Matrix Multiplication ...
https://u-aizu.ac.jp/files/page/research/techreport/2012-002.pdf
tation of code generator for fast general matrix multiply. (GEMM) kernels. ... The performance of the fastest DGEMM and SGEMM.
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39 Accelerating Floating Point DGEMM on FPGAs.
https://archive.ll.mit.edu/HPEC/agendas/proc08/Day2/35-Day2-PosterDemoB-VanCourt-abstract.pdf
Accelerating Floating Point DGEMM on FPGAs. Martin Langhammer, Tom VanCourt. Altera Corporation ... memory bandwidth and native parallelism allow fast.
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40 Fast implementation of DGEMM on ... - IEEE Computer Society
https://www.computer.org/csdl/proceedings-article/sc/2011/2063431/12OmNBQ2VQ9
by G Tan · 2011 · Cited by 148 —
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41 Dense Matrix Multiplication Algorithms and Performance ...
https://mdpi-res.com/d_attachment/computation/computation-09-00086/article_deploy/computation-09-00086-v2.pdf?version=1628001871
For DGEMM, we show the effect of varying core and detail problem size in terms of node performance after testing and speed up of each node ...
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42 Matrix Multiplication Flashcards - Quizlet
https://quizlet.com/278764592/matrix-multiplication-flash-cards/
Blocked Sequential DGEMM. Put blocks of matrix in fast memory · Cannon Algorithm. The first dgemm for distribute networks. · SUMMA Algorithm. Input matrix of any ...
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43 Design and Implementation of a Highly Efficient DGEMM for ...
https://www.cs.ucy.ac.cy/courses/EPL221/Fall2017Files/Design%20and%20Implementation%20of%20a%20Highly%20Efficient%20DGEMM%20for%2064-bit%20ARMv8%20Multi-Core%20Processors.pdf
ing, blocking, DGEMM, BLAS, compute-to-memory access ratio. I. INTRODUCTION. Recently, ARM-based SoCs have a rapid evolution. The.
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44 Untitled
http://labo.nshimizu.com/pgm/gemm/index.html
Fast DGEMM routine with Blocking but without inner submatrix copy. Smart designed machine will hit high performance with this program.
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45 A High-performance Drop-in GPU BLAS Library to Accelerate ...
https://on-demand.gputechconf.com/gtc/2013/presentations/S3527-Build-High-Performance-BLAS-Library.pdf
Use LD_PRELOAD=/run/gpudev1/DropinGpuBlas/Ex2_DropinSimple/libdigpublas.so. — How fast is the simple GPU DGEMM library? — Is it always faster than OpenBLAS?
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46 Recursive Array Layouts and Fast Matrix Multiplication
https://users.cs.duke.edu/~alvy/papers/matrix-tpds.pdf
Matrix multiplication (the BLAS. 3 [14] dgemm routine) is a key linear algebraic kernel. The performance of this routine is inti- mately related to the memory ...
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47 High-performance Matrix Computations - HPAC
https://hpac.cs.umu.se/teaching/hpmc-15/lect3-4/lect3.pdf
It says how fast an algorithm is ... How to compute DGEMM's performance? Paolo Bientinesi (AICES) ... on most processors GEMM is the speed-of-light.”.
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48 Basic Linear Algebra Subprograms - Wikipedia
https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms
Although the BLAS specification is general, BLAS implementations are often optimized for speed on a particular machine, so using them can bring substantial ...
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49 DGEMM using Tensor Cores, and Its Accurate and ... - YouTube
https://www.youtube.com/watch?v=vRmVVOjqQqQ
ISC Group Videos
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50 Accurate DGEMM using Tensor Cores
https://sighpc.ipsj.or.jp/HPCAsia2020/hpcasia2020_posters/poster_09.pdf
1.2 TFlops. • Although our implementation brings no performance advantage against cuBLAS DGEMM on. GPUs that support fast FP64 (1/16 of Tensor Cores), ...
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51 c - What is wrong with this matrix multiplication?
https://scicomp.stackexchange.com/questions/20092/what-is-wrong-with-this-matrix-multiplication
Note: I haven't run your code. Perhaps this is a problem with the row-major/column-major conventions at play here: http://docs.nvidia.com/cuda/cublas/index.htm ...
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52 Exploring Parallel Matrix Multiply - Rustie Lin
https://rustie.xyz/2019/02/21/matmul/
Survey of DGEMM (Double Precision General Matrix Multiplication) speed-up boosts on CORI supercomputer. All results were calculated on a ...
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53 A Linear Algebra Approach to Fast DNA Mixture ... - bioRxiv
https://www.biorxiv.org/content/10.1101/174813v1.full.pdf
for dense matrix multiplication (DGEMM) to speed up DNA sample comparisons. We show that it is possible to compare. 2048 unknown DNA samples with 20 million ...
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54 Performance Modeling and Prediction for Dense Linear Algebra
https://arxiv.org/pdf/1706.01341
the two dgemm-based algorithms (. ) are clearly faster than the others, they differ in performance by up to 23.32 %; with other kernels the ...
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55 THREADED ACCURATE MATRIX-MATRIX ... - iWAPT
http://iwapt.org/2018/iwapt2018_proceedings/iWAPT2018-AT-rev0_katagiri.pdf
Using Fast Routines of Matrix Multiplication and its Applications, Numerical Algorithms, Vol. ... (BLAS dgemm) of dense MMM can be utilized.
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56 Linear Algebra in PSI4
https://psicode.org/psi4manual/master/prog_blas.html
DTRMM/DTRMV calls are 2x faster than DGEMM, and should be used where possible. LAPACK Wrappers¶. All standard LAPACK 3.2 double precision routines are provided.
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57 Effective Implementation of DGEMM on Modern Multicore CPU
https://www.academia.edu/21727534/Effective_Implementation_of_DGEMM_on_Modern_Multicore_CPU
Effective Implementation of DGEMM on Modern Multicore CPU. ... A new memory controller, integrated PCIe 3.0 as well as a faster QPI interface improve ...
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58 IWCSE 2013
http://iwcse.phys.ntu.edu.tw/abs/000015.html
Presentation: oral. Topic: Supercomputer/GPU and Algorithms. Title: Design and implementation of fast DGEMM on GPUs. Authors: Guangming Tan ...
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59 Math Kernel Library - Documentation | ARC NCAR
https://arc.ucar.edu/knowledge_base/72581231
... threaded and will run faster if you use that option. The program in this example calls BLAS subroutine DGEMM, which is included in MKL.
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60 Fast and Faithful Performance Prediction of MPI Applications
https://hal.inria.fr/hal-02096571v3/file/paper.pdf
modified the open-source version of HPL to allow a fast emulation ... obtained faithful models for several key functions (e.g., dgemm.
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61 Mikhail Smelyanskiy's Home Page
http://web.eecs.umich.edu/~msmelyan/
TOP500 provides a ranking of the 500 fastest computers in the world. My highly optimized double-precision matrix-matrix multiplication (DGEMM) ...
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62 achieving native gpu performance for out-of-card large dense ...
http://users.umiacs.umd.edu/~joseph/ppl-Jing_Wu-Joseph_JaJa.pdf
Double precision dense matrix multiplication (DGEMM), ... (1) We select the block sizes that will allow us to make use of the fast native GPU. DGEMM kernels ...
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63 Assignment 2: High Performance Matrix Multiplication on a CPU
https://cseweb.ucsd.edu/classes/wi15/cse262-a/static/A2-cpu/
Try to make your code go as fast as you can. ... Modify the code in the file dgemm-blocked.c that implements the blocked algorithm.
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64 FPGA programming with OpenCL™ Accelerating Eigen Math ...
https://www.content.shi.com/SHIcom/ContentAttachmentImages/SharedResources/PDFs/IntelSoftware/PUM-31-Abstracts.pdf
Quickly reconfigure the device as a new accelerator for a different application ... tuned subprograms for numerous math operations, including a fast DGEMM.
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65 Fast 3D array Multiplication with DGEMM.....help - Tek-Tips
https://www.tek-tips.com/viewthread.cfm?qid=1709922
I'd like to use the BLAS routine DGEMM that should be faster than the previous one, but it doesn't works: function matmull(a,b)
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66 DGEMM Using Tensor Cores, and Its Accurate and Reproducible ...
https://www.springerprofessional.de/dgemm-using-tensor-cores-and-its-accurate-and-reproducible-versi/18085450
... on FP64 (DGEMM) and FP32 (SGEMM) using Tensor Cores on NVIDIA's graphics. ... limited FP32/FP64 resources and fast low-precision processing units (such ...
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67 Intel MKL Speeds Up Small Matrix-Matrix Multiplication for ...
https://insidehpc.com/2018/01/intel-mkl-speeds-small-matrix-matrix-multiplication-automatic-driving/
In particular, the Intel MKL DGEMM function for matrix-matrix ... compiler flag to guarantee that the fastest code path is used at runtime.
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68 Degree of Parallelism - Oracle® Developer Studio 12.6 ...
https://docs.oracle.com/cd/E77782_01/html/E77802/z4000496998318.html
However, each DGEMM instance will run in serial since only one level of parallelization is supported. !$OMP PARALLEL DO I = 1, N CALL DGEMM(...) END DO !$OMP ...
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69 Presentation – Agenda - ISC 2020
https://2020.isc-program.com/presentation/?id=pap175&sess=sess341
DGEMM using Tensor Cores, and Its Accurate and Reproducible Versions ... FP32/FP64 resources and fast low-precision processing units (such ...
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70 fortran Matrix multiply fast ? DGEMM BLAS vs ... - Ubuntu Forums
https://ubuntuforums.org/showthread.php?t=1295370&p=8131512
fortran Matrix multiply fast ? DGEMM BLAS vs. MATLAB. Hi all, this is not one of those "urgent help" threads, just a bit of learning by doing.
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71 Implementation of Strassen's Algorithm for Matrix Multiplication 1
https://static.aminer.org/pdf/PDF/000/267/954/further_schemes_for_combining_matrix_algorithms.pdf
Obtaining a general condition for rectangular matrices is much more difficult since the boundary between the regions where DGEMM is faster and ...
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72 Overcoming the Barriers to Sustained Petaflop Performance
https://wgropp.cs.illinois.edu/bib/talks/tdata/2006/barriers-fallscreek.pdf
Fast code for DGEMM (dense matrix-matrix multiply). – Code generated by ATLAS omitted to avoid blindness ☺. – Example code from “Superscalar GEMM-based ...
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73 CS267 Spring 2019 - HW 1 - Google Sites
https://sites.google.com/lbl.gov/cs267-spr2019/hw-1
Makefile benchmark.c dgemm-blas.c dgemm-blocked.c dgemm-naive.c job-blas job-blocked job- ... ANSI C) Page for BLAS3 Compatible Fast Matrix Matrix Multiply.
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74 A Linear Algebra Approach to Fast DNA Mixture ... - NASA/ADS
http://ui.adsabs.harvard.edu/abs/2017arXiv170700516S/abstract
... we can leverage advances in GPU hardware and algoithms for Dense Generalized Matrix-Multiply (DGEMM) to speed up DNA sample comparisons.
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75 Matrix Computations in SymPy - Matthew Rocklin
https://matthewrocklin.com/blog/work/2012/10/29/Matrix-Computations
DGEMM is fast but inaccessible. To solve this problem we usually build layers on top of BLAS . For example numpy.dot calls DGEMM if the BLAS ...
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76 3d matrix multiplication with reduce computation time
https://www.mathworks.com/matlabcentral/answers/354352-3d-matrix-multiplication-with-reduce-computation-time
ndfun ': It's very fast and doesn't support complex numbers. ... E.g., the generic matrix multiply routine is called DGEMM for real double precision ...
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77 How to write a fast gemm by opencl - Image.sc Forum
https://forum.image.sc/t/how-to-write-a-fast-gemm-by-opencl/35938
I just wrote a little example using clesperanto which is built on top of gputools and pyopencl: https://github.com/clEsperanto/pyclesperanto_prototype/blob/mas ...
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78 Chapter 5
https://www.cs.colostate.edu/~cs470/s16/Chapter_05MemoryA.pdf
Chapter 5 — Large and Fast: Exploiting Memory Hierarchy — 7. Memory Technology ... 14 void dgemm (int n, double* A, double* B, double* C).
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79 Debugging Hardware Performance on Gen X Servers
https://blog.cloudflare.com/debugging-hardware-performance-on-gen-x-servers/
We ran AMD's DGEMM high performance computing tool to determine if ... team started looking into memory configuration and operating speed.
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80 PREDICTABILITY OF OPTIMAL CORE DISTRIBUTION ... - DiVA
https://www.diva-portal.org/smash/get/diva2:1678629/FULLTEXT01.pdf
The efficiency, calculated using Equation 3, of the fastest dgemm run for thread count. 1, 2, 4, 8, 12 and 14 respectively when computing square matrices up ...
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81 How Practical is Fast Matrix Multiplication?
http://users.wfu.edu/ballard/pdfs/UCB14.pdf
in practice, fast algorithms like Strassen's can outperform dgemm for square matrices, Strassen's algorithm is hard to beat.
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82 matmul benchmark - GCC, the GNU Compiler Collection
https://gcc.gnu.org/pipermail/fortran/2004-November/002892.html
The crossover point where dgemm becomes faster is a 5x5 matrix. By comparison, Intel fortran 8.0 on the same computer gives: ~/src/fortran% ...
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83 Adaptive Strassen and ATLAS's DGEMM: a fast square-matrix ...
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000001592249?locale=pl
We present a recursive algorithm achieving up to 30% speed-up versus ATLAS alone. ... Adaptive Strassen and ATLAS's DGEMM: a fast square-matrix multiply for ...
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84 Double-precision General Matrix Multiply (DGEMM)
https://m-sp.org/downloads/cse260_a1.pdf
We optimized our DGEMM implementation for a specific runtime environment. ... loads that are considerably faster than unaligned loads.
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85 880237 – Amazingly slow operation of dgemv and dgemm
https://bugzilla.redhat.com/show_bug.cgi?id=880237
Packaged and custom built Atlas 3.8. Matrix size modified to obtain bearable speed - no heavy swapping. This might be a disadvantage for atlas.
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86 Comparing DGEMM - Intel MKL and Cublas - PGI Compilers
https://www.pgroup.com/userforum/viewtopic.php?p=8209
I need to compare the speed of matrix multiplications between a CPU and an nVidia graphics card. The CPU is an Intel(R) Xeon(R) CPU E5630 ...
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87 Topics - math.chalmers.se
http://www.math.chalmers.se/Math/Grundutb/CTH/tma881/0708/Assignments/topics.html
ATLAS (fast dgemm). Another project with the same goal. Recursion in numerical linear algebra routines. The IBM p690 supercomputer at NIC Jülich.
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88 matrixmultiply_mt::dgemm - Rust - Docs.rs
https://docs.rs/matrixmultiply_mt/0.1.3/matrixmultiply_mt/fn.dgemm.html
API documentation for the Rust `dgemm` fn in crate `matrixmultiply_mt`. ... pub unsafe fn dgemm( m: usize, k: usize, n: usize, alpha: f64, a: *const f64,
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89 High Performance Computing: 30th International Conference, ...
https://books.google.com/books?id=2uDyCQAAQBAJ&pg=PA185&lpg=PA185&dq=fast+dgemm&source=bl&ots=ZxLoH2Wx_a&sig=ACfU3U03D_3AHCBg0lcUbNFSzHuObcg-pw&hl=en&sa=X&ved=2ahUKEwjnwuaywOT7AhXLD1kFHXBHCSgQ6AF6BQjCAhAD
turns out the version without DTRSM offload is faster at the beginning, ... Step Performance Mode Efficiency Mode Preparatory-DGEMM Always Offload Always ...
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90 FastMMW – Fast Matrix Multiply by Winograd's Algorithms
https://www.fastmmw.com/
... of DGEMM for vega-20 alone (plus communication) and one Fiji alone. ... using GPUs any version of fast algorithms (KxJxL), written as Bini's matrices.
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91 Towards highly efficient DGEMM on the emerging SW26010 ...
https://search.iczhiku.com/paper/OKX2uGx1gDyXppeB.pdf
general format matrix-matrix multiplication (DGEMM) kernel ... (LDM), which can be used as either a fast user-controlled.
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92 dgemm
https://www.math.utah.edu/software/lapack/lapack-blas/dgemm.html
NAME DGEMM - perform one of the matrix-matrix operations C := alpha*op( A )*op( B ) + beta*C, SYNOPSIS SUBROUTINE DGEMM ( TRANSA, TRANSB, M, N, K, ALPHA, A, ...
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93 "Using SGEMM and FFTs to Accelerate Deep Learning," a ...
https://www.edge-ai-vision.com/2016/07/using-sgemm-and-ffts-to-accelerate-deep-learning-a-presentation-from-arm/
Matrix Multiplication and the Fast Fourier Transform are numerical foundation stones for a wide range of scientific algorithms.
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94 Computational Science — ICCS 2002: International Conference ...
https://books.google.com/books?id=RERsCQAAQBAJ&pg=PA338&lpg=PA338&dq=fast+dgemm&source=bl&ots=AGIVE1zImg&sig=ACfU3U2Sau-yZD8aWbhn1t7RFIK68j2yqw&hl=en&sa=X&ved=2ahUKEwjnwuaywOT7AhXLD1kFHXBHCSgQ6AF6BQi_AhAD
The additional kernels ensure that we obtain high performance even on small matrices; relying on only on a fast DGEMM kernel, which is the strategy that ...
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95 Computer Organization and Design RISC-V Edition: The ...
https://books.google.com/books?id=H7wxDQAAQBAJ&pg=PA545&lpg=PA545&dq=fast+dgemm&source=bl&ots=bEUBMqqt7-&sig=ACfU3U1VTRUrBuJiqpLmNUGX_PZmqzZpew&hl=en&sa=X&ved=2ahUKEwjnwuaywOT7AhXLD1kFHXBHCSgQ6AF6BQi1AhAD
Faster: Multiply. Multiple. Processors. and. This section is the final and largest step in our incremental performance journey of adapting DGEMM to the ...
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96 Computer Organization and Design ARM Edition: The Hardware ...
https://books.google.com/books?id=Pz-XCgAAQBAJ&pg=PA569&lpg=PA569&dq=fast+dgemm&source=bl&ots=GbR5ZhuWdY&sig=ACfU3U3CVLV0asKpSJm3R4I_BySmQUgvaQ&hl=en&sa=X&ved=2ahUKEwjnwuaywOT7AhXLD1kFHXBHCSgQ6AF6BQjBAhAD
Faster: Multiple. Processors. and. Matrix. Multiply. This section is the final and largest step in our incremental performance journey of adapting DGEMM to ...
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97 What is Dgemm Matrix? - High tech guide
https://high-tech-guide.com/article/what-is-dgemm-matrix
Is GPU always faster than CPU? GPU is not faster than the CPU. CPU and GPU are designed with two different goals, with different trade-offs, so they have ...
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