Abstract. A preemptive gang scheduler is developed and evaluated. The gang scheduler, called SCore-D, is implemented on top of a UNIX operating system and runs on workstation and PC clusters connected by Myrinet, a giga-bit class, high-performance network. To have high-performance communication at the user-level and a multi-user environment simultaneously, we propose network preemption to save and restore network context as well as process contexts when switching distributed processes. We also developed a high-performance, user-level communication library, PM. PM and SCore-D collaborate for the net-work preemption. When user processes are gang-scheduled, communica-tion messages are rst ushed, then the messages and pending messages in the r...
Clusters of workstations have emerged as a cost-effective solution to high performance computing pro...
Gang scheduling | the scheduling of a number of related threads to execute simultaneously on distinc...
Gang scheduling, has long been adopted by the high-performance computing community as a way to reduc...
Gang Scheduling improves the performance of parallel programs by running all child processes concurr...
In this paper, we explore the performance of gang scheduling on a cluster using the Quadrics interco...
We have implemented an experimental gang scheduler on Cenju-3/DE[1] in order to investigate efficien...
Gang scheduling is a resource management scheme for parallel and distributed systems that combines t...
Gang Scheduling and related techniques are widely believed to be necessary for efficient job schedul...
The job workloads of general-purpose multiprocessors usually include both compute-bound parallel job...
Gang Scheduling and related techniques are widely believed to be necessary for efficient job schedu...
Abstract The hardware trend toward higher core counts will likely result in a dynamic, bursty and in...
Gang scheduling provides both space-slicing and time-slicing of computer resources for parallel prog...
The hardware trend toward higher core counts will likely result in a dynamic, bursty and interactive...
Abstract In this paper we propose a new class of scheduling poli-cies, dubbed Concurrent Gang, that ...
Time sharing between cluster resources in a grid is a major issue in cluster and grid integration. C...
Clusters of workstations have emerged as a cost-effective solution to high performance computing pro...
Gang scheduling | the scheduling of a number of related threads to execute simultaneously on distinc...
Gang scheduling, has long been adopted by the high-performance computing community as a way to reduc...
Gang Scheduling improves the performance of parallel programs by running all child processes concurr...
In this paper, we explore the performance of gang scheduling on a cluster using the Quadrics interco...
We have implemented an experimental gang scheduler on Cenju-3/DE[1] in order to investigate efficien...
Gang scheduling is a resource management scheme for parallel and distributed systems that combines t...
Gang Scheduling and related techniques are widely believed to be necessary for efficient job schedul...
The job workloads of general-purpose multiprocessors usually include both compute-bound parallel job...
Gang Scheduling and related techniques are widely believed to be necessary for efficient job schedu...
Abstract The hardware trend toward higher core counts will likely result in a dynamic, bursty and in...
Gang scheduling provides both space-slicing and time-slicing of computer resources for parallel prog...
The hardware trend toward higher core counts will likely result in a dynamic, bursty and interactive...
Abstract In this paper we propose a new class of scheduling poli-cies, dubbed Concurrent Gang, that ...
Time sharing between cluster resources in a grid is a major issue in cluster and grid integration. C...
Clusters of workstations have emerged as a cost-effective solution to high performance computing pro...
Gang scheduling | the scheduling of a number of related threads to execute simultaneously on distinc...
Gang scheduling, has long been adopted by the high-performance computing community as a way to reduc...