Writing parallel code is traditionally considered a difficult task, even when it is tackled from the beginning of a project. In this paper, we demonstrate an innovative toolset that faces this challenge directly. It provides the software developers with profile data and directs them to possible top-level, pipeline-style parallelization opportunities for an arbitrary sequential C program. This approach is complementary to the methods based on static code analysis and automatic code rewriting and does not impose restrictions on the structure of the sequential code or the parallelization style, even though it is mostly aimed at coarse-grained task-level parallelization. The proposed toolset has been utilized to define parallel code organizatio...
International audienceThis paper describes a tool using one or more executions of a sequential progr...
Existing many systems were supporting task level parallelism usually involving the process of task c...
The limited ability of compilers to nd the parallelism in programs is a signi cant barrier to the us...
Massive amounts of legacy sequential code need to be parallelized to make better use of modern multi...
Traditional parallelism detection in compilers is performed by means of static analysis and more spe...
Writing parallel code is difficult, especially when starting from a sequential reference implementat...
In the era of multicore processors, the responsibility for performance gains has been shifted onto s...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 2012.Speculative parallelizatio...
Traditional static analysis fails to auto-parallelize programs with a complex control and data flow....
With the rise of Chip multiprocessors (CMPs), the amount of parallel computing power will increase s...
Parallelization is a technique that boosts the performance of a program beyond optimizations of the ...
With the rise of Chip multiprocessors (CMPs), the amount of parallel computing power will increase s...
In recent years, since it seems that speed up of single processor or single core has been going up t...
Since The 'Free Lunch' Of Processor Performance Is Over, Parallelism Has Become The New Trend In Har...
Writing parallel code is difficult, especially when starting from a sequential reference implementat...
International audienceThis paper describes a tool using one or more executions of a sequential progr...
Existing many systems were supporting task level parallelism usually involving the process of task c...
The limited ability of compilers to nd the parallelism in programs is a signi cant barrier to the us...
Massive amounts of legacy sequential code need to be parallelized to make better use of modern multi...
Traditional parallelism detection in compilers is performed by means of static analysis and more spe...
Writing parallel code is difficult, especially when starting from a sequential reference implementat...
In the era of multicore processors, the responsibility for performance gains has been shifted onto s...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 2012.Speculative parallelizatio...
Traditional static analysis fails to auto-parallelize programs with a complex control and data flow....
With the rise of Chip multiprocessors (CMPs), the amount of parallel computing power will increase s...
Parallelization is a technique that boosts the performance of a program beyond optimizations of the ...
With the rise of Chip multiprocessors (CMPs), the amount of parallel computing power will increase s...
In recent years, since it seems that speed up of single processor or single core has been going up t...
Since The 'Free Lunch' Of Processor Performance Is Over, Parallelism Has Become The New Trend In Har...
Writing parallel code is difficult, especially when starting from a sequential reference implementat...
International audienceThis paper describes a tool using one or more executions of a sequential progr...
Existing many systems were supporting task level parallelism usually involving the process of task c...
The limited ability of compilers to nd the parallelism in programs is a signi cant barrier to the us...