The job workloads of general-purpose multiprocessors usually include both compute-bound parallel jobs, which often require gang scheduling, as well as I/O-bound jobs, which require high CPU priority for the individual gang members of the job in order to achieve interactive response times. Our results indicate that an eective interactive multiprocessor scheduler must be flexible and tailor the priority, time quantum, and extent of gang scheduling to the individual needs of each job. Flexible gang scheduling is required because of several weaknesses of traditional gang scheduling. In particular, we show that the response time of I/O-bound jobs suffers under traditional gang scheduling. In addition, we show that not all applications benefit eq...
Gang Scheduling improves the performance of parallel programs by running all child processes concurr...
Gang scheduling, has long been adopted by the high-performance computing community as a way to reduc...
Abstract: In this paper we study the performance of parallel job scheduling in a distributed system....
The hardware trend toward higher core counts will likely result in a dynamic, bursty and interactive...
Abstract The hardware trend toward higher core counts will likely result in a dynamic, bursty and in...
Most commercial multicomputers use space-slicing schemes in which each scheduling decision has an un...
Abstract. Most commercial multicomputers use space-slicing schemes in which each scheduling decision...
Gang scheduling is a resource management scheme for parallel and distributed systems that combines t...
Gang scheduling provides both space-slicing and time-slicing of computer resources for parallel prog...
The OpenMP programming model provides parallel applications a very important feature: job malleabili...
Clusters of workstations have emerged as a cost-effective solution to high performance computing pro...
[[abstract]]Gang scheduling has recently been shown to be an effective job scheduling policy for par...
Applying gang scheduling can alleviate the blockade problem caused by exclusively used space-sharing...
[[abstract]]©2000 Institute of Information Science Academia Sinica-Gang scheduling has recently been...
Abstract In this paper we propose a new class of scheduling poli-cies, dubbed Concurrent Gang, that ...
Gang Scheduling improves the performance of parallel programs by running all child processes concurr...
Gang scheduling, has long been adopted by the high-performance computing community as a way to reduc...
Abstract: In this paper we study the performance of parallel job scheduling in a distributed system....
The hardware trend toward higher core counts will likely result in a dynamic, bursty and interactive...
Abstract The hardware trend toward higher core counts will likely result in a dynamic, bursty and in...
Most commercial multicomputers use space-slicing schemes in which each scheduling decision has an un...
Abstract. Most commercial multicomputers use space-slicing schemes in which each scheduling decision...
Gang scheduling is a resource management scheme for parallel and distributed systems that combines t...
Gang scheduling provides both space-slicing and time-slicing of computer resources for parallel prog...
The OpenMP programming model provides parallel applications a very important feature: job malleabili...
Clusters of workstations have emerged as a cost-effective solution to high performance computing pro...
[[abstract]]Gang scheduling has recently been shown to be an effective job scheduling policy for par...
Applying gang scheduling can alleviate the blockade problem caused by exclusively used space-sharing...
[[abstract]]©2000 Institute of Information Science Academia Sinica-Gang scheduling has recently been...
Abstract In this paper we propose a new class of scheduling poli-cies, dubbed Concurrent Gang, that ...
Gang Scheduling improves the performance of parallel programs by running all child processes concurr...
Gang scheduling, has long been adopted by the high-performance computing community as a way to reduc...
Abstract: In this paper we study the performance of parallel job scheduling in a distributed system....