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MASS highperformance mathematical function libraries Community Blog
RobertEnenkel
Tags:
performance
mass
simd
scientific
scalar
elementary_functions
vector
numerical
cppcafe
library
hpc
4,324 Views
Hello  I'm the technical leader for the IBM MASS math libraries. MASS stands for Mathematical Acceleration Subsystem, and consists of libraries of mathematical functions specifically tuned for optimum performance on various computing platforms. MASS was...
from Blog: C/C++ Cafe


MASS autovectorization paper now on developerWorks Community Blog
RobertEnenkel
Tags:
elementary_functions
performance
vectorization
numerical
mass
simd
vector
autovecgtorization
library
scientific
cppcafe
hpc
3,491 Views
If your applications call mathematical functions such as sin, cos, exp, log, etc. and you are interested in maximizing performance with minimum effort, here is something that will interest you! My colleague Daniel Zabawa and I have written a paper, "How to...
from Blog: C/C++ Cafe


MASS v6.0  High performance math libraries for POWER7 Community Blog
RobertEnenkel
Tags:
library
mass
elementary_functions
cppcafe
scientific
vector
numerical
simd
performance
3,602 Views
Mathematical Acceleration Subsystem (MASS) Version 6.0 for AIX has been released. This high performance suite of elementary and special mathematical functions contains two new libraries tuned for the IBM POWER7 processor, and exploiting the POWER7 VSX SIMD...
from Blog: C/C++ Cafe


Learn how to take advantage of compiler autovectorization Community Blog
melaniejs
Tags:
c++
autovectorization
mass
xl
compiler
c
performance
math
fortran
applications
libraries
1 Comment
5,685 Views
This demo explains how to use the MASS highperformance mathematical libraries via the autovectorization features supported by XL compilers. The demo is built upon the examples given in a developerWorks article titled “ How to improve the performance of...
from Blog: C/C++ Cafe


学习如何使用编译器的自动向量化功能 Community Blog
原文地址: Learn how to take advantage of compiler autovectorization 本演示阐述了如何通过XL编译器支持的自动向量化功能来使用MASS高性能数学库。 演示中的各个示例来自developerWorks(开发者论坛)中的一篇文章( 怎样提高调用数学函数的程序的性能  利用 IBM XL C/C++ 或 XL Fortran 汇编器的自动向量化功能 )。 有关MASS库，自动向量化和Fortran/C源代码的详细信息请参考上述文章。
from Blog: IBM 编译器中国开发团队


SYSIBM.SYSINDEXSPACESTATS.MASSDELETE (RTS) counter not incremented after Mass Delete Community Blog
As of DB2 10 NFM, the RealTime Statistics logic has been extended to cope with mass delete operations more accurate. Before DB2 10 NFM, the MASSDELETE counters have been incremented after a mass delete operation. SYSIBM.SYSTABLESPACESTATS.TOTALROWS counter...
from Blog: DB2 for z/OS Exchange Forum


Announcing XL C/C++ V2R1M1 web deliverable with z13 support for z/OS 2.1 Community Blog
The XL C/C++ V2R1M1 web deliverable for z/OS 2.1 will become generally available on February 16, 2015 to provide support for the recently launched IBM z13 Mainframe , the most powerful and secure system ever built. This will be done through new...
from Blog: C/C++ Cafe
Modified on by kobiv


Announcing the z/OS V2.2 XL C/C++ Compiler Community Blog
The z/OS V2.2 XL C/C++ compiler will become generally available on September 30, 2015 as an optionally priced feature of z/OS V2.2. This release of the compiler provides support for the new IBM z13 Mainframe , with ARCH(11) and TUNE(11) parameters...
from Blog: C/C++ Cafe


z/OS V2.2 XL C/C++编译器发布
原文链接： https://www.ibm.com/developerworks/community/blogs/5894415fbe624bc081c53956e82276f3/entry/Announcing_the_z_OS_V2_2_XL_C_C_Compiler?lang=en 适宜读者：（一年及以上主机经验） 背景知识：（z/OS基础知识，C/C++语法） 正文： ...
from Blog: IBM System z 中国实验室
Modified on by IBM System z 中国实验室


Deep Learning Options on OpenPOWER Expand with New Distributions Community Blog
Michael Gschwind
Tags:
s822lc
tensorflow
minsky
#power
mldl
#mldl
torch
openblas
theano
deeplearning
mass
caffe
openpower
powermldl
#cognitive
power
atlas
power8
cuda
#aot
blas
904 Views
I am pleased to announce a major update to the deep learning frameworks available for OpenPOWER as software “distros” (distributions) that are as easily installable as ever using the Ubuntu system installer. Significant updates to Key Deep...
from Blog: News around the Linux on Power Community
Modified on by Michael Gschwind


Deep Learning on OpenPOWER: Building Optimized Libraries for Deep Learning on OpenPOWER Linux Systems Community Blog
Michael Gschwind
Tags:
theano
power
minsky
tensorflow
power8
#mldl
atlas
cuda
openpower
#cognitive
powermldl
#aot
openblas
mldl
mass
torch
blas
s822lc
deeplearning
caffe
#power
892 Views
The Machine Learning and Deep Learning project in IBM Systems is a broad effort to build a cooptimized stack of hardware and software to make IBM Power Systems the best platform to develop and deploy cognitive applications. In addition to bringing to...
from Blog: News around the Linux on Power Community
Modified on by Michael Gschwind
