As parallel systems move into the production scientific-computing world, the emphasis will be on cost-effective solutions that provide high throughput for a mix of applications. Cost-effective solutions demand that a system make effective use of all of its resources. Many MIMD multiprocessors today, however, distinguish between “compute” and “I/O” nodes, the latter having attached disks and being dedicated to running the file-system server. This static division of responsibilities simplifies system management but does not necessarily lead to the best performance in workloads that need a different balance of computation and I/O. \par Of course, computational processes sharing a node with a file-system service may receive less CPU time, netwo...
I/O-intensive parallel programs have emerged as one of the leading consumers of cycles on parallel m...
In high performance computing, platforms (the supercomputers) are composed of computational resource...
Rapid increases in the computational speeds of multiprocessors have not been matched by correspondin...
As parallel systems move into the production scientific-computing world, the emphasis will be on cos...
As parallel systems move into the production scientific computing world, the emphasis will be on cos...
As parallel systems move into the production scientific-computing world, the emphasis will be on cos...
As parallel systems move into the production scientific-computing world, the emphasis will be on cos...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
The computational performance of multiprocessors continues to improve by leaps and bounds, fueled in...
Many scientific applications have intense computational and I/O requirements. Although multiprocesso...
Scientific applications are increasingly being implemented on massively parallel supercomputers. Man...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
I/O-intensive parallel programs have emerged as one of the leading consumers of cycles on parallel m...
In high performance computing, platforms (the supercomputers) are composed of computational resource...
Rapid increases in the computational speeds of multiprocessors have not been matched by correspondin...
As parallel systems move into the production scientific-computing world, the emphasis will be on cos...
As parallel systems move into the production scientific computing world, the emphasis will be on cos...
As parallel systems move into the production scientific-computing world, the emphasis will be on cos...
As parallel systems move into the production scientific-computing world, the emphasis will be on cos...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
The computational performance of multiprocessors continues to improve by leaps and bounds, fueled in...
Many scientific applications have intense computational and I/O requirements. Although multiprocesso...
Scientific applications are increasingly being implemented on massively parallel supercomputers. Man...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
I/O-intensive parallel programs have emerged as one of the leading consumers of cycles on parallel m...
In high performance computing, platforms (the supercomputers) are composed of computational resource...
Rapid increases in the computational speeds of multiprocessors have not been matched by correspondin...