Cluster computing has become one of the most popular platforms for high-performance computing today. The recent popularity of multicore processors provides a flexible way to increase the computational capability of clusters. Although the system performance may improve with multicore processors in a cluster, I/O requests initiated by multiple cores may saturate the I/O bus, and furthermore increase the latency by issuing multiple non-contiguous disk accesses. In this paper, we propose an asymmetric collective I/O for multicore processors to improve multiple non-contiguous accesses. In our configuration, one core in each multicore processor is designated as the coordinator, and others serve as computing cores. The coordinator is responsible f...
There has been a great deal of recent interest in parallel I/O. This paper discusses issues in the d...
Abstract—Current commercial solutions intended to provide additional resources to an application bei...
As the microprocessor industry embraces multicore architectures, inherently parallel applications be...
Cluster computing has become one of the most pop-ular platforms for high-performance computing today...
Abstract—MPI collective I/O is a widely used I/O method that helps data-intensive scientific applica...
As cluster systems become increasingly popular, more and more parallel applications require need not...
This paper presents a framework, Orthrus, that can accom-modate multiple collective-I/O implementati...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
The increasing number of cores per node has propelled the performance of leadershipscale systems fro...
Two-phase I/O is a well-known strategy for implementing collective MPI-IO functions. It redistribute...
Abstract—I/O performance is vital for most HPC applications especially those that generate a vast am...
Collective I/O is a critical I/O strategy on high-performance parallel computing systems that enable...
Optimizing collective input/output (I/O) is important for improving throughput of parallel scientic ...
More and more parallel applications are running in a distributed environment to take advantage of ea...
The use of asymmetric multi-core processors with on-chip computational accelerators is becoming comm...
There has been a great deal of recent interest in parallel I/O. This paper discusses issues in the d...
Abstract—Current commercial solutions intended to provide additional resources to an application bei...
As the microprocessor industry embraces multicore architectures, inherently parallel applications be...
Cluster computing has become one of the most pop-ular platforms for high-performance computing today...
Abstract—MPI collective I/O is a widely used I/O method that helps data-intensive scientific applica...
As cluster systems become increasingly popular, more and more parallel applications require need not...
This paper presents a framework, Orthrus, that can accom-modate multiple collective-I/O implementati...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
The increasing number of cores per node has propelled the performance of leadershipscale systems fro...
Two-phase I/O is a well-known strategy for implementing collective MPI-IO functions. It redistribute...
Abstract—I/O performance is vital for most HPC applications especially those that generate a vast am...
Collective I/O is a critical I/O strategy on high-performance parallel computing systems that enable...
Optimizing collective input/output (I/O) is important for improving throughput of parallel scientic ...
More and more parallel applications are running in a distributed environment to take advantage of ea...
The use of asymmetric multi-core processors with on-chip computational accelerators is becoming comm...
There has been a great deal of recent interest in parallel I/O. This paper discusses issues in the d...
Abstract—Current commercial solutions intended to provide additional resources to an application bei...
As the microprocessor industry embraces multicore architectures, inherently parallel applications be...