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DSATS : Research and Project 1.1

 

 
Program Info
 

License:
 
Last Update: 2023-03-20
 
Release Status: Media Only
 
Size: 0.99 MB
 
Price: $0  Buy
 
Downloads: 1
 
Publisher: DSATS
 
OS Support: WinXP, Win7 x32, Win7 x64, Windows 8, Windows 10, Windows2003, Windows Server 2003, Windows Server 2008, Windows Server 2008r2, Windows Server 2012, Windows Tablet PC Edition 2005, Windows Media Center Edition 2005, WinVista, Windows Vista Starter, Windows Vista Home Basic, Windows Vista Home Premium, Windows Vista Business, Windows Vista Enterprise, Windows Vista Ultimate, WinVista x64, Windows Vista Home Basic x64, Windows Vista Home Premium x64, Windows Vista Business x64, Windows Vista Enterprise x64, Windows Vista Ultimate x64, Linux, Linux Console, Linux Gnome, Linux GPL, Linux Open Source, Mac OS X, Mac OS X 10.1, Mac OS X 10.2, Mac OS X 10.3, Mac OS X 10.4, Mac OS X 10.5, Mac OS X 10.6, Mac OS X 10.7, Mac OS X 10.8, Mac OS X 10.9, Android, iPhone, iPad, iOS
 
Category: Windows/Servers/News Servers
 
Rating
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DSATS : Research and Project

 
Publisher's Description
 
 
D

SATS : Research & Project
Architecture and Structure Aware Linear Algebra
Linear algebra (LA) operations are fundamental to a large number of computational science algorithms.
LA algorithms is complicated by the increasing architectural heterogeneity of the high-performance computing (HPC) platforms.
This project aims to build an Architecture and Data-Structure Aware Linear Algebra (ADSALA) software package that will use machine learning to learn the hardware/data-structure/package/algorithm relationships when compiled on a specific hardware architecture for a spectrum of LA packages.

DSATS : Research & Project
The pursuit of optimal LA algorithms is significantly complicated by the increasing architectural heterogeneity of the high-performance computing (HPC) platforms, with a variable mix of general-purpose processors (CPUs) and accelerators (GPUs, DSPs, FPGAs, etc.), and complex associated memory hierarchies and file systems.

DSATS : Research & Project
Linear algebra (LA) operations are fundamental to a large number of computational science algorithms. The applications span the entire scientific board, with machine learning (ML) algorithms being among the most reliant on LA operations; they provide the mathematics that underpins much of what we do. Historically, this fact has driven the development of a plethora of libraries providing high-performance implementations of LA algorithms: BLAS, OpenBLAS, cuBLAS, CLBLAS, LAPACK, ARPACK, ATLAS, cuSOLVER, MAGMA and many more. For a given LA operation, the choice can be bewildering for the programmer, especially given that within the same library there may be several algorithms yielding different performance depending, for example, on the specific structure of the matrices involved.

Changes: 1.1

Fixes all issue with previous build.

Languages supported

English, Abkhazian, Afar, Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Aymara, Azerbaijani, Bashkir, Basque, Bengali, Bhutani, Bihari, Bislama, Breton, Bulgarian, Burmese, Byelorussian, Cambodian, Catalan, Chinese, ChineseSimplified, ChineseTraditional, Corsican, Croatian, Czech, Danish, Dutch, Esperanto, Estonian, Faeroese, Fiji, Finnish, French, Frisian, Gaelic, Galician, Georgian, German, Greek, Greenlandic, Guarani, Gujarati, Hausa, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Interlingua, Interlingue, Inupiak, Irish, Italian, Japanese, Javanese, Kannada, Kashmiri, Kazakh, Kinyarwanda, Kirghiz, Kirundi, Korean, Kurdish, Laothian, Latin, Latvian, Lingala, Lithuanian, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Moldavian, Mongolian, Nauru, Nepali, Norwegian, Occitan, Oriya, Oromo, Other, Pashto, Persian, Polish, Portuguese, Punjabi, Quechua, Rhaeto-Romance, Romanian, Russian, Samoan, Sangro, Sanskrit, Serbian, Serbo-Croatian, Sesotho, Setswana, Shona, Sindhi, Singhalese, Siswati, Slovak, Slovenian, Somali, Spanish, Sudanese, Swahili, Swedish, Tagalog, Tajik, Tamil, Tatar, Telugu, Thai, Tibetan, Tigrinya, Tonga, Tsonga, Turkish, Turkmen, Twi, Ukrainian, Urdu, Uzbek, Vietnamese, Volapuk, Welsh, Wolof, Xhosa, Yiddish, Yoruba, Zulu