[图书][B] Computer vision: algorithms and applications

R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Roofline: an insightful visual performance model for multicore architectures

S Williams, A Waterman, D Patterson - Communications of the ACM, 2009 - dl.acm.org
Roofline: An insightful Visual Performance model for multicore Architectures Page 1 APriL 2009
| voL. 52 | no. 4 | communicAtionS of the Acm 65 conVentional WiSdom in computer architecture …

Algorithm selection for combinatorial search problems: A survey

L Kotthoff - Data mining and constraint programming: Foundations …, 2016 - Springer
Abstract The Algorithm Selection Problem is concerned with selecting the best algorithm to
solve a given problem on a case-by-case basis. It has become especially relevant in the last …

[图书][B] MATLAB guide

DJ Higham, NJ Higham - 2016 - SIAM
MATLAB® 1 is an interactive system for numerical computation. Numerical analyst Cleve
Moler wrote the initial Fortran version of MATLAB in the late 1970s as a teaching aid. It …

A view of the parallel computing landscape

K Asanovic, R Bodik, J Demmel, T Keaveny… - Communications of the …, 2009 - dl.acm.org
A view of the parallel computing landscape Page 1 56 CommuniCAtions of the ACm |
oCtobER 2009 | vol. 52 | No. 10 contributed articles ill us tra tion B yl eonell oc al vetti Doi:10.1145/1562764.1562783 …

SPIRAL: Code generation for DSP transforms

M Puschel, JMF Moura, JR Johnson… - Proceedings of the …, 2005 - ieeexplore.ieee.org
Fast changing, increasingly complex, and diverse computing platforms pose central
problems in scientific computing: How to achieve, with reasonable effort, portable optimal …

[HTML][HTML] Aslib: A benchmark library for algorithm selection

B Bischl, P Kerschke, L Kotthoff, M Lindauer… - Artificial Intelligence, 2016 - Elsevier
The task of algorithm selection involves choosing an algorithm from a set of algorithms on a
per-instance basis in order to exploit the varying performance of algorithms over a set of …

Model-driven autotuning of sparse matrix-vector multiply on GPUs

JW Choi, A Singh, RW Vuduc - ACM sigplan notices, 2010 - dl.acm.org
We present a performance model-driven framework for automated performance tuning
(autotuning) of sparse matrix-vector multiply (SpMV) on systems accelerated by graphics …

From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming

P Du, R Weber, P Luszczek, S Tomov, G Peterson… - Parallel Computing, 2012 - Elsevier
In this work, we evaluate OpenCL as a programming tool for developing performance-
portable applications for GPGPU. While the Khronos group developed OpenCL with …

OSKI: A library of automatically tuned sparse matrix kernels

R Vuduc, JW Demmel, KA Yelick - Journal of Physics …, 2005 - iopscience.iop.org
Abstract The Optimized Sparse Kernel Interface (OSKI) is a collection of low-level primitives
that provide automatically tuned computational kernels on sparse matrices, for use by solver …