Marco Aldinucci
On Designing Multicore-aware Simulators for Biological Systems.
Wed, 10/13/2010 - 15:01 — SomNambulAuthors: Marco Aldinucci, Massimo Torquati, Angelo Troina, Mario Coppo, Ferruccio Damiani, Maurizio Drocco
Subjects: and Cluster Computing, Distributed, Parallel
AbstractThe stochastic simulation of biological systems is an increasingly popular
technique in bioinformatics. It often is an enlightening technique, which may
however result in being computational expensive. We discuss the main
opportunities to speed it up on multi-core platforms, which pose new challenges
for parallelisation techniques.Accelerating sequential programs using FastFlow and self-offloading.
Fri, 02/26/2010 - 16:01 — SomNambulAuthors: Marco Aldinucci, Massimo Torquati, Massimiliano Meneghin, Marco Danelutto, Peter Kilpatrick
Subjects: and Cluster Computing, Distributed, Parallel
AbstractFastFlow is a programming environment specifically targeting cache-coherent
shared-memory multi-cores. FastFlow is implemented as a stack of C++ template
libraries built on top of lock-free (fence-free) synchronization mechanisms. In
this paper we present a further evolution of FastFlow enabling programmers to
offload part of their workload on a dynamically created software accelerator
running on unused CPUs. The offloaded function can be easily derived from
pre-existing sequential code.FastFlow: Efficient Parallel Streaming Applications on Multi-core.
Tue, 09/08/2009 - 12:16 — SomNambulAuthors: Marco Aldinucci, Massimo Torquati, Massimiliano Meneghin
Subjects: and Cluster Computing, Distributed, Parallel
AbstractShared memory multiprocessors come back to popularity thanks to rapid
spreading of commodity multi-core architectures. As ever, shared memory
programs are fairly easy to write and quite hard to optimise; providing
multi-core programmers with optimising tools and programming frameworks is a
nowadays challenge. Few efforts have been done to support effective streaming
applications on these architectures. In this paper we introduce FastFlow, a
low-level programming framework based on lock-free queues explicitly designed
to support high-level languages for streaming applications.
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