Shared-memory multi-core architectures are becoming increasingly popular. While their parallelism and peak performance is ever increasing, their efficiency is often disappointing due to memory fence overheads. In this paper we present FastFlow, a programming methodology based on lock-free queues explicitly designed for programming streaming applications on multi-cores. The potential of FastFlow is evaluated on micro-benchmarks and on the Smith-Waterman sequence alignment application, which exhibits a substantial speedup against the state-of-the-art multi-threaded implementation (SWPS3 x86/SSE2)
FastFlow is a parallel programming framework for multi and many core platforms based upon non-blocki...
Over the past two decades, microprocessor manufacturers have typically relied on wider issue widths ...
Ultrascale computing and bioinformatics are two rapidly growing fields with a big impact right now a...
Shared memory multiprocessors have returned to popularity thanks to rapid spreading of commodity mul...
Shared memory multiprocessors come back to popularity thanks to rapid spreading of commodity multi-c...
The Smith Waterman algorithm is used to perform local alignment on biological sequences by calculati...
The use of efficient synchronization mechanisms is crucial for implementing fine grained parallel pr...
FastFlow is a C++ parallel programming framework advocating high-level, pattern-based parallel progr...
FastFlow is a programming environment specifically targeting cache-coherent shared-memory multi-core...
FastFlow is a structured parallel programming framework targeting shared memory multi-core architect...
FastFlow is a structured parallel programming framework targeting shared memory multicore architectu...
FastFlow is a structured parallel programming framework targeting shared memory multicores. Its laye...
The rise of many-core processor architectures in the market answers to a constantly growing need of ...
In this paper we investigate the deployment of FastFlow applications on multi-core virtual platforms...
It is often a challenge to keep input/output tasks/results in order for parallel computations over d...
FastFlow is a parallel programming framework for multi and many core platforms based upon non-blocki...
Over the past two decades, microprocessor manufacturers have typically relied on wider issue widths ...
Ultrascale computing and bioinformatics are two rapidly growing fields with a big impact right now a...
Shared memory multiprocessors have returned to popularity thanks to rapid spreading of commodity mul...
Shared memory multiprocessors come back to popularity thanks to rapid spreading of commodity multi-c...
The Smith Waterman algorithm is used to perform local alignment on biological sequences by calculati...
The use of efficient synchronization mechanisms is crucial for implementing fine grained parallel pr...
FastFlow is a C++ parallel programming framework advocating high-level, pattern-based parallel progr...
FastFlow is a programming environment specifically targeting cache-coherent shared-memory multi-core...
FastFlow is a structured parallel programming framework targeting shared memory multi-core architect...
FastFlow is a structured parallel programming framework targeting shared memory multicore architectu...
FastFlow is a structured parallel programming framework targeting shared memory multicores. Its laye...
The rise of many-core processor architectures in the market answers to a constantly growing need of ...
In this paper we investigate the deployment of FastFlow applications on multi-core virtual platforms...
It is often a challenge to keep input/output tasks/results in order for parallel computations over d...
FastFlow is a parallel programming framework for multi and many core platforms based upon non-blocki...
Over the past two decades, microprocessor manufacturers have typically relied on wider issue widths ...
Ultrascale computing and bioinformatics are two rapidly growing fields with a big impact right now a...