between SMPs and hardw ian rete, eet, P 001; as s (SM cost is ga of-the-art shared virtual memory cluster. We find that: (i) The level of application restructuring needed is quite high compared to programming model on systems that bridge the cost- Thus, despite (and in fact, because of) the success of processors, they are still very costly compared to SMPs and clusters. Fig. 1 depicts how the cost-performanc
We first describe the design and implementation f a distributed shared memory system for a cluster o...
The last decade has produced enormous improvements in processor speeds without a corresponding impro...
Workstation clusters have recently attracted high interest as a technology providing supercomputer c...
In this paper we examine how application performance scales on a state-of-the-art shared virtual mem...
Highly integrated SMPs can execute a broad range of workloads, but are expensive and monolithic. It ...
Abstract: Languages for efficient parallel programming need to achieve high per-formance portability...
Clusters of Personal Computers have been proposed as potential replacements for expensive compute se...
Languages for efficient parallel programming need to achieve high performance portability in order to...
Recently there has been a lot of effort in providing cost-effective Shared Memory systems by employi...
Using off-the-shelf commodity workstations and PCs to build a cluster for parallel computing has bec...
Many academic papers imply that parallel computing is only worthwhile when applications achieve near...
Institute for Computing Systems ArchitectureProgramming parallel computers remains a difficult task....
Parallel systems supporting a shared memory programming interface have been implemented both in soft...
We offer a new metric for big data platforms, COST, or the Configuration that Outperforms a Single T...
Despite the fact that large scale shared-memory multiprocessors have been commercially available for...
We first describe the design and implementation f a distributed shared memory system for a cluster o...
The last decade has produced enormous improvements in processor speeds without a corresponding impro...
Workstation clusters have recently attracted high interest as a technology providing supercomputer c...
In this paper we examine how application performance scales on a state-of-the-art shared virtual mem...
Highly integrated SMPs can execute a broad range of workloads, but are expensive and monolithic. It ...
Abstract: Languages for efficient parallel programming need to achieve high per-formance portability...
Clusters of Personal Computers have been proposed as potential replacements for expensive compute se...
Languages for efficient parallel programming need to achieve high performance portability in order to...
Recently there has been a lot of effort in providing cost-effective Shared Memory systems by employi...
Using off-the-shelf commodity workstations and PCs to build a cluster for parallel computing has bec...
Many academic papers imply that parallel computing is only worthwhile when applications achieve near...
Institute for Computing Systems ArchitectureProgramming parallel computers remains a difficult task....
Parallel systems supporting a shared memory programming interface have been implemented both in soft...
We offer a new metric for big data platforms, COST, or the Configuration that Outperforms a Single T...
Despite the fact that large scale shared-memory multiprocessors have been commercially available for...
We first describe the design and implementation f a distributed shared memory system for a cluster o...
The last decade has produced enormous improvements in processor speeds without a corresponding impro...
Workstation clusters have recently attracted high interest as a technology providing supercomputer c...