Network-Based Parallel Computing Communication, Architecture, and Applications: Third International Workshop, CANPC'99, Orlando, Florida, USA, January 9th, 1999, ProceedingsAnand Sivasubramaniam, Mario Lauria Springer, 2006. gada 29. dec. - 232 lappuses Clusters of workstations/PCs connected by o?-the-shelf networks have become popular as a platform for cost-e?ective parallel computing. Hardware and so- ware technological advances have made this network-based parallel computing platform feasible. A large number of research groups from academia and industry are working to enhance the capabilities of such a platform, thereby improving its cost-e?ectiveness and usability. These developments are facilitating the mig- tion of many existing applications as well as the development of new applications on this platform. Continuing in the tradition of the two previously successful workshops, this 3rd Workshop on Communication, Architecture and Applications for Netwo- based Parallel Computing (CANPC’99) has brought together researchers and practitioners working in architecture, system software, applications and perf- mance evaluation to discuss state-of-the-art solutions for network-based parallel computing systems. This workshop has become an excellent forum for timely dissemination of ideas and healthy interaction on topics at the cutting edge in cluster computing technology. Each submitted paper underwent a rigorous review process, and was assigned to at least 3 reviewers, including at least 2 program committee members. Each paper received at least 2 reviews, most received 3 and some even had 4 reviews. |
No grāmatas satura
1.–5. rezultāts no 65.
vii. lappuse
... Distributed Computations ........ 16 Peter Steenkiste Prototyping Execution Models for HTMT Petaflop Machine in Java ...... 32 Lilia Yerosheva (Suslov), Peter M. Kogge Is It Worth the Flexibility Provided by Irregular Topologies in ...
... Distributed Computations ........ 16 Peter Steenkiste Prototyping Execution Models for HTMT Petaflop Machine in Java ...... 32 Lilia Yerosheva (Suslov), Peter M. Kogge Is It Worth the Flexibility Provided by Irregular Topologies in ...
1. lappuse
... computer. This trend has gained sufficient popularity to establish a new parallel processing paradigm: network of workstations (NOWs) [1]. A NOWs can be organized as a “cooperative cluster” to perform parallel/distributed computation ...
... computer. This trend has gained sufficient popularity to establish a new parallel processing paradigm: network of workstations (NOWs) [1]. A NOWs can be organized as a “cooperative cluster” to perform parallel/distributed computation ...
8. lappuse
... computation P0 P 1 P 2 P3 Time begin Time end Time Asynchronous computation Fig. 4. Synchronous and asynchronous ... distributed, then W = Nw. w is the workload for each simulation step. wn is the workload on each processor per ...
... computation P0 P 1 P 2 P3 Time begin Time end Time Asynchronous computation Fig. 4. Synchronous and asynchronous ... distributed, then W = Nw. w is the workload for each simulation step. wn is the workload on each processor per ...
15. lappuse
... Computing. Journal of Parallel and Distributed Computing, 40:1 – 3, 1997. 1, 2 2. F. He, J. Wu, C. Fitz, F. Sklar, and Y. Wu. A Parallel Implementation of the Everglades Landscape Fire Model Using Message Passing Interface. Report to ...
... Computing. Journal of Parallel and Distributed Computing, 40:1 – 3, 1997. 1, 2 2. F. He, J. Wu, C. Fitz, F. Sklar, and Y. Wu. A Parallel Implementation of the Everglades Landscape Fire Model Using Message Passing Interface. Report to ...
16. lappuse
... distributed computing, adaptation models can be used to guide the development of other network-aware applications and they can also form the basis for programming support, e.g. middleware, that supports the development of network-aware ...
... distributed computing, adaptation models can be used to guide the development of other network-aware applications and they can also form the basis for programming support, e.g. middleware, that supports the development of network-aware ...
Saturs
1 | |
16 | |
Prototyping Execution Models for HTMT Petaflop Machine in Java | 32 |
Is It Worth the Flexibility Provided by Irregular Topologies in Networks | 47 |
Performance Evaluation of the Multimedia Router with MPEG2 Video | 62 |
A Scalable Flow Control Algorithm for the Fast Messages Communication | 77 |
High Performance Sockets and RPC over Virtual Interface VI | 91 |
The Scheduled Transfer ST Protocol | 108 |
Support for Scalable Distributed Shared Objects | 137 |
Evaluation of a Hybrid | 150 |
DeadlockFree Routing in Irregular Networks with | 165 |
Implementing ApplicationSpecific CacheCoherence Protocols | 181 |
Supporting Shared Memory and Message Passing on Clusters of PCs with | 196 |
Low Latency MessagePassing for Reflective Memory Networks | 211 |
Author Index | 225 |
The NIP Parallel ObjectOriented Computational Model | 122 |
Citi izdevumi - Skatīt visu
Network-Based Parallel Computing Communication, Architecture, and ... CANPC Ierobežota priekšskatīšana - 1999 |
Network-Based Parallel Computing Communication, Architecture, and ... Anand Sivasubramaniam,Mario Lauria Priekšskatījums nav pieejams - 1999 |
Bieži izmantoti vārdi un frāzes
achieved adaptive routing address space Aleph appbt application Architecture bandwidth break node buffer Bufx bytes cache checkpoint communication connection credits deadlock delay descriptor Distributed Computing Distributed Shared Memory ELFM code execution Figure flit cycles flow control FPGA function graph hardware header HTMT Hybrid Router IEEE implementation interconnection irregular networks iteration Java latency Load Balancer message data message latency message length message passing MSG flags MSRPC multicast multiple Myrinet network interface network-aware NIPDSM object overhead packet Parallel Computing parallel ELFM parallel programming parameters pipelined processors protocol provides queue receive reconfiguration reflective memory remote rollback root node router routing algorithm routing scheme routing tables runtime Section sender sequence server shared memory simulation speedup SRAM stream sockets super-pipelined switch synchronization task tasklet TCP/IP thread throughput topology up∗/down update user-level virtual channels virtual memory workstations XYadapt