Programming for parallel systems and in particular, multicomputers, is still uncomfortable and inefficient. We often observe monoprogramming operation, which inevitably leads to poor utilization and uneconomic machine usage. When multiprogramming is available, the machine is usually partitioned manually and in a rather static way without the ability to adjust the partitioning to the dynamic requests of the parallel programs. The reason for this situation is a lack of operating system software support. We therefore claim that operating systems for those machines have to provide a dynamic processor management facility comparable to storage management. Mesh-connected multicomputer (MIMD message passing) systems become more and more popular for...
227 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.Most future supercomputers wi...
Power consumption and fabrication limitations are increasingly playing significant roles in the desi...
Multicomputer (distributed memory MIMD machines) have emerged as inexpensive, yet powerful parallel...
A fundamental problem of parallel computing is that applications often require large-size inst...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...
Two strategies are used for the allocation of jobs to processors connected by mesh topologies: conti...
Parallel hardware1 has become a ubiquitous component in computer processing technology. Uniprocessor...
A major challenge for computer science in the 1990s is to determine the extent to which general purp...
has emphasized instruction-level parallelism, which improves performance by increasing the number of...
We introduce explicit multi-threading (XMT), a decentralized architecture that exploits fine-grained...
Grid computing offers a model for solving large-scale scientific problems by uniting computational r...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
Highly parallel architectures will be useful in meeting the demands of computationally intensive tas...
Parallel computers provide great amounts of computing power, but they do so at the cost of increased...
Current processor allocation techniques for highly parallel systems are typically restricted to cont...
227 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.Most future supercomputers wi...
Power consumption and fabrication limitations are increasingly playing significant roles in the desi...
Multicomputer (distributed memory MIMD machines) have emerged as inexpensive, yet powerful parallel...
A fundamental problem of parallel computing is that applications often require large-size inst...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...
Two strategies are used for the allocation of jobs to processors connected by mesh topologies: conti...
Parallel hardware1 has become a ubiquitous component in computer processing technology. Uniprocessor...
A major challenge for computer science in the 1990s is to determine the extent to which general purp...
has emphasized instruction-level parallelism, which improves performance by increasing the number of...
We introduce explicit multi-threading (XMT), a decentralized architecture that exploits fine-grained...
Grid computing offers a model for solving large-scale scientific problems by uniting computational r...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
Highly parallel architectures will be useful in meeting the demands of computationally intensive tas...
Parallel computers provide great amounts of computing power, but they do so at the cost of increased...
Current processor allocation techniques for highly parallel systems are typically restricted to cont...
227 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.Most future supercomputers wi...
Power consumption and fabrication limitations are increasingly playing significant roles in the desi...
Multicomputer (distributed memory MIMD machines) have emerged as inexpensive, yet powerful parallel...