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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sakai, S. Okamoto, K. Kodama, Y. Sato, M. |
| Copyright Year | 1993 |
| Description | Author affiliation: Massively Parallel Archit. Lab., Real World Comput. Partnership, Japan (Sakai, S.; Okamoto, K.) |
| Abstract | The paper presents an execution model and a processor architecture for general purpose massively parallel computers. To construct an efficient massively parallel computer: the execution model should be natural enough to map an actual problem structure into a processor architecture; each processor should have efficient and simple communication structure; and computation and communication should be tightly coupled and their operation should be highly overlapped. To meet these, we obtain a simplified architecture with a Continuation Driven Execution Model. We call this architecture RICA. RICA consists of a simplified message handling pipeline, a continuation-driven thread invocation mechanism, a RISC core for instruction execution, a message generation pipeline which can send messages asynchronously with other operations, and a thread switching mechanism with little overhead, all of which are fused in a simple architecture. Next, we state how RICA realizes parallel primitives of programming models and how efficiently it does. The primitives examined are-shared memory primitives, message passing primitives and barriers. |
| Starting Page | 134 |
| Ending Page | 143 |
| File Size | 766779 |
| Page Count | 10 |
| File Format | |
| ISBN | 0818649003 |
| DOI | 10.1109/PMMP.1993.315546 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-09-20 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer architecture Yarn Parallel programming Concurrent computing Laboratories Computer science Pipelines Message passing Parallel architectures Reduced instruction set computing |
| Content Type | Text |
| Resource Type | Article |
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