Task-based libraries such as Intel’s Threading Building Blocks (TBB) provide higher levels of abstraction than threads for parallel programming. Work remains, however, to determine how straightforward it is to use these libraries to express various patterns of parallelism. This case study focuses on a particular pattern: pipeline parallelism. We attempted to transform three representative applications – content-based image retrieval, compression and video en-coding – to pipelines using TBB. We successfully converted two of the three applications. In the successful cases we discuss our transformation process and contrast the expres-sivity and performance of our implementations to existing Pthreads versions; in the unsuccessful case, we detai...
time library [1] is a popular C++ parallelization environment [2][3] that offers a set of methods an...
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be...
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be...
Task-based libraries such as Intel???s Threading Building Blocks (TBB) provide higher levels of abst...
International audiencePipeline execution pattern is a recurrent execution configuration in many appl...
Intels TBB (Threading Building Blocks) library provides a high level abstraction to write parallel p...
"This open access book is a modern guide for all C++ programmers to learn Threading Building Blocks ...
Today’s processors exploit the fine grain data parallelism that exists in many applications via ILP ...
Parallel programming is a requirement in the multi-core era. One of the most promising techniques to...
Due to energy constraints, high performance computing platforms are becoming increasingly heterogene...
Pipeline parallelism organizes a parallel program as a linear se-quence of s stages. Each stage proc...
Traditional static analysis fails to auto-parallelize programs with a complex control and data flow....
Due to energy constraints, high performance computing platforms are becoming increasingly heterogene...
Emerging applications demand new parallel abstractions. Traditional parallel abstractions such as da...
The pipeline is a simple and intuitive structure to speed up many problems. Novice parallel programm...
time library [1] is a popular C++ parallelization environment [2][3] that offers a set of methods an...
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be...
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be...
Task-based libraries such as Intel???s Threading Building Blocks (TBB) provide higher levels of abst...
International audiencePipeline execution pattern is a recurrent execution configuration in many appl...
Intels TBB (Threading Building Blocks) library provides a high level abstraction to write parallel p...
"This open access book is a modern guide for all C++ programmers to learn Threading Building Blocks ...
Today’s processors exploit the fine grain data parallelism that exists in many applications via ILP ...
Parallel programming is a requirement in the multi-core era. One of the most promising techniques to...
Due to energy constraints, high performance computing platforms are becoming increasingly heterogene...
Pipeline parallelism organizes a parallel program as a linear se-quence of s stages. Each stage proc...
Traditional static analysis fails to auto-parallelize programs with a complex control and data flow....
Due to energy constraints, high performance computing platforms are becoming increasingly heterogene...
Emerging applications demand new parallel abstractions. Traditional parallel abstractions such as da...
The pipeline is a simple and intuitive structure to speed up many problems. Novice parallel programm...
time library [1] is a popular C++ parallelization environment [2][3] that offers a set of methods an...
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be...
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be...