Add to ORKGInternational audienceHeterogeneity in resources pervades all modern computing platforms. How do the effects of heterogeneity depend on which resources differ among computers in a platform? Some answers are derived within a formal framework, by comparing heterogeneity in computing power (node-heterogeneity) with heterogeneity in communication speed (link-heterogeneity). The former genre of heterogeneity seems much easier to understand than the latter
Abstract—In this paper, we investigate the multicast capacity for static network with heterogeneous ...
International audienceWhile most parallel task graphs scheduling research has been done in the conte...
In the paper, we analyse challenges associated with parallel programming for common networks of com...
International audienceLarge clusters and supercomputers are rapidly evolving and may be subject to r...
http://www.springerlink.com/index/TTJJL61R1EXDLCMCInternational audienceRecently, many works focus o...
Distributed computer systems in daily use are becoming more and more heterogeneous. Currently, much ...
This paper explores area/parallelism tradeoffs in the design of distributed shared-memory (DSM) mult...
Future computing platforms will be distributed and heterogeneous. Such platforms range from heteroge...
International audienceIn this paper, we assess the impact of heterogeneity for scheduling independen...
International audienceGossip-based protocols are now acknowledged as a sound basis to implement coll...
International audienceIn this paper, we assess the impact of heterogeneity on scheduling independent...
Parallel computing platforms are increasingly complex, with multiple cores, shared caches, and NUMA ...
This work describes a novel way to select the best computer node out of a pool of available potentia...
Distributed systems offer the ability to execute a job at other nodes than the originating one. Load...
This paper presents techniques for dynamic load balancing in heterogeneous computing environments. T...
Abstract—In this paper, we investigate the multicast capacity for static network with heterogeneous ...
International audienceWhile most parallel task graphs scheduling research has been done in the conte...
In the paper, we analyse challenges associated with parallel programming for common networks of com...
International audienceLarge clusters and supercomputers are rapidly evolving and may be subject to r...
http://www.springerlink.com/index/TTJJL61R1EXDLCMCInternational audienceRecently, many works focus o...
Distributed computer systems in daily use are becoming more and more heterogeneous. Currently, much ...
This paper explores area/parallelism tradeoffs in the design of distributed shared-memory (DSM) mult...
Future computing platforms will be distributed and heterogeneous. Such platforms range from heteroge...
International audienceIn this paper, we assess the impact of heterogeneity for scheduling independen...
International audienceGossip-based protocols are now acknowledged as a sound basis to implement coll...
International audienceIn this paper, we assess the impact of heterogeneity on scheduling independent...
Parallel computing platforms are increasingly complex, with multiple cores, shared caches, and NUMA ...
This work describes a novel way to select the best computer node out of a pool of available potentia...
Distributed systems offer the ability to execute a job at other nodes than the originating one. Load...
This paper presents techniques for dynamic load balancing in heterogeneous computing environments. T...
Abstract—In this paper, we investigate the multicast capacity for static network with heterogeneous ...
International audienceWhile most parallel task graphs scheduling research has been done in the conte...
In the paper, we analyse challenges associated with parallel programming for common networks of com...