Add to ORKGHigh performance computers currently under construction, such as IBM's Blue Gene/L, consisting of large numbers (64K) of low cost processing elements with relatively small local memories (256MB) connected via relatively low bandwidth (0.0625 Bytes/FLOP) low cost interconnection networks promise exceptional cost-performance for some scientific applications. Due to the large number of processing elements and adaptive routing networks in such systems, performance analysis of meaningful application kernels requires innovative methods. This paper describes a method that combines application analysis, tracing and parallel discrete event simulation to provide early performance prediction. Specifically, results of performance analysis of a ...
Molecular dynamics (MD) simulation has broad applications, but its irregular memory-access pattern m...
Parallel discrete event simulation (PDES) of mod-els with fine-grained computation remains a challen...
Stochastic simulations of biochemical reaction networks can be computationally expensive on Central ...
High performance computers currently under construction, such as IBM's Blue Gene/L, consisting of l...
Caltech's Jet Propulsion Laboratory (JPL) and Center for Advanced Computer Architecture (CACR) are c...
We present a performance prediction environment for large scale computers such as the Blue Gene mach...
Recently the latest generation of Blue Gene machines became available. In this paper we introduce ge...
NAMD is a scalable molecular dynamics application, which has demonstrated its performance on several...
Molecular dynamics (MD) is a powerful computer simulation technique providing atomistic resolution a...
BlueGene/L (BG/L), developed through a partnership between IBM and Lawrence Livermore National Labor...
2012-04-27The shift to many-core architecture design paradigm in computer market has provided unprec...
Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Aut...
Benchmark timings are presented for the fragment molecular orbital method on a Blue Gene/P computer....
Applications on todays massively parallel supercom-puters rely on performance analysis tools to guid...
In order for scientists to learn more about molecular biology, it is imperative that they have the a...
Molecular dynamics (MD) simulation has broad applications, but its irregular memory-access pattern m...
Parallel discrete event simulation (PDES) of mod-els with fine-grained computation remains a challen...
Stochastic simulations of biochemical reaction networks can be computationally expensive on Central ...
High performance computers currently under construction, such as IBM's Blue Gene/L, consisting of l...
Caltech's Jet Propulsion Laboratory (JPL) and Center for Advanced Computer Architecture (CACR) are c...
We present a performance prediction environment for large scale computers such as the Blue Gene mach...
Recently the latest generation of Blue Gene machines became available. In this paper we introduce ge...
NAMD is a scalable molecular dynamics application, which has demonstrated its performance on several...
Molecular dynamics (MD) is a powerful computer simulation technique providing atomistic resolution a...
BlueGene/L (BG/L), developed through a partnership between IBM and Lawrence Livermore National Labor...
2012-04-27The shift to many-core architecture design paradigm in computer market has provided unprec...
Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Aut...
Benchmark timings are presented for the fragment molecular orbital method on a Blue Gene/P computer....
Applications on todays massively parallel supercom-puters rely on performance analysis tools to guid...
In order for scientists to learn more about molecular biology, it is imperative that they have the a...
Molecular dynamics (MD) simulation has broad applications, but its irregular memory-access pattern m...
Parallel discrete event simulation (PDES) of mod-els with fine-grained computation remains a challen...
Stochastic simulations of biochemical reaction networks can be computationally expensive on Central ...