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Towards a holistic approach to auto-parallelization: integrating profile-driven parallelism detection and machine-learning based map**
Compiler-based auto-parallelization is a much studied area, yet has still not found wide-
spread application. This is largely due to the poor exploitation of application parallelism …
spread application. This is largely due to the poor exploitation of application parallelism …
The paralax infrastructure: Automatic parallelization with a hel** hand
Speeding up sequential programs on multicores is a challenging problem that is in urgent
need of a solution. Automatic parallelization of irregular pointer-intensive codes, exemplified …
need of a solution. Automatic parallelization of irregular pointer-intensive codes, exemplified …
Integrating profile-driven parallelism detection and machine-learning-based map**
Compiler-based auto-parallelization is a much-studied area but has yet to find widespread
application. This is largely due to the poor identification and exploitation of application …
application. This is largely due to the poor identification and exploitation of application …
STAPL: standard template adaptive parallel library
The Standard Template Adaptive Parallel Library (stapl) is a high-productivity parallel
programming framework that extends C++ and stl with unified support for shared and …
programming framework that extends C++ and stl with unified support for shared and …
A framework for adaptive algorithm selection in STAPL
N Thomas, G Tanase, O Tkachyshyn, J Perdue… - Proceedings of the …, 2005 - dl.acm.org
Writing portable programs that perform well on multiple platforms or for varying input sizes
and types can be very difficult because performance is often sensitive to the system …
and types can be very difficult because performance is often sensitive to the system …
The STAPL parallel container framework
The Standard Template Adaptive Parallel Library (STAPL) is a parallel programming
infrastructure that extends C++ with support for parallelism. It includes a collection of …
infrastructure that extends C++ with support for parallelism. It includes a collection of …
Semi-automatic extraction and exploitation of hierarchical pipeline parallelism using profiling information
In recent years multi-core computer systems have left the realm of high-performance
computing and virtually all of today's desktop computers and embedded computing systems …
computing and virtually all of today's desktop computers and embedded computing systems …
[PDF][PDF] Parallel Programming of {General-Purpose} Programs Using {Task-Based} Programming Models
The prevalence of multicore processors is bound to drive most kinds of software
development towards parallel programming. To limit the difficulty and overhead of parallel …
development towards parallel programming. To limit the difficulty and overhead of parallel …
Lc/dc: Lockless containers and data concurrency a novel nonblocking container library for multicore applications
Exploiting the parallelism in multiprocessor systems is a major challenge in modern
computer science. Multicore programming demands a change in the way we design and use …
computer science. Multicore programming demands a change in the way we design and use …
SAC—from high-level programming with arrays to efficient parallel execution
SAC is a purely functional array processing language designed with numerical applications
in mind. It supports generic, high-level program specifications in the style of APL. However …
in mind. It supports generic, high-level program specifications in the style of APL. However …