Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 227,738,025 papers from all fields of science
Search
Sign In
Create Free Account
Parallel Patterns Library
Known as:
PPL
The Parallel Patterns Library is a Microsoft library designed for use by native C++ developers that provides features for multicore programming. It…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
2 relations
C++ Standard Library
Threading Building Blocks
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Preconditioned characteristic boundary conditions based on artificial compressibility method for solution of incompressible flows
K. Hejranfar
,
K. Parseh
Journal of Computational Physics
2017
Corpus ID: 803467
2014
2014
Tindak Tutur Ekspresif Dan Direktif Pada “Kesan Dan Pesan Untuk Guru Bahasa Indonesia PPL UMS 2013” Kelas 8A DAN 8B SMP N 1 Teras: Tinjauan Pragmatik
Alista Notarina Sulistyo Putri
2014
Corpus ID: 192572089
Ada dua tujuan yang sudah dicapai. (1) Mendeskrisikan bentuk-bentuk dari tindak tutur ekspresif pada kesan untuk guru Bahasa…
Expand
2014
2014
Task Region | N3832
P. Halpern
,
A. Robison
,
Hong Hong
,
Artur Laksberg
,
Gor V. Nishanov
,
Herb Sutter
2014
Corpus ID: 62303316
Over the last several years, Microsoft and Intel have collaborated to produce a set of common libraries known as the Parallel…
Expand
2013
2013
Multicore Mining of Correlated Patterns
Christian Ernst
,
Alain Casali
2013
Corpus ID: 55167404
In this paper, we present a new approach relevant to the discovery of correlated patterns, based on the use of multicore…
Expand
2013
2013
Extracting correlated parameters on multicore architectures
Christian Ernst
,
Alain Casali
2013
Corpus ID: 53655210
In this paper, we present a new approach relevant to the discovery of correlated patterns, based on the use of multicore…
Expand
2010
2010
High-level performance modeling of task-based algorithms
A. Alexandrov
,
Douglas Armstrong
,
H. Rajic
,
Michael J. Voss
,
Donald Hayes
IEEE International Symposium on Performance…
2010
Corpus ID: 9841110
Performing modeling and visualization of task-based parallel algorithms is challenging. Libraries such as Intel Threading…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE