Name
Abstract | ||
|---|---|---|
The requirement of high performance computing at low power can be met by the parallel execution of an application on a possibly large number of programmable cores. However, the lack of accurate timing properties may prevent parallel execution from being applicable to time-critical applications. We illustrate how this problem has been addressed by suitably designing the architecture, implementation, and programming model, of the Kalray MPPA®-256 single-chip many-core processor. The MPPA®-256 (Multi-Purpose Processing Array) processor integrates 256 processing engine (PE) cores and 32 resource management (RM) cores on a single 28nm CMOS chip. These VLIW cores are distributed across 16 compute clusters and 4 I/O subsystems, each with a locally shared memory. On-chip communication and synchronization are supported by an explicitly addressed dual network-on-chip (NoC), with one node per compute cluster and 4 nodes per I/O subsystem. Off-chip interfaces include DDR, PCI and Ethernet, and a direct access to the NoC for low-latency processing of data streams. The key architectural features that support time-critical applications are timing compositional cores, independent memory banks inside the compute clusters, and the data NoC whose guaranteed services are determined by network calculus. The programming model provides communicators that effectively support distributed computing primitives such as remote writes, barrier synchronizations, active messages, and communication by sampling. POSIX time functions expose synchronous clocks inside compute clusters and mesosynchronous clocks across the MPPA®-256 processor. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.7873/DATE.2014.110 | DATE |
Keywords | Field | DocType |
time-critical computing,single-chip many-core processor,kalray mppa,on-chip communication,parallel execution,accurate timing property,o subsystem,data noc,programming model,parallel processor,data stream,o subsystems,network on chip,parallel processing | Memory bank,Programming paradigm,Shared memory,Supercomputer,Massively parallel,Computer science,Very long instruction word,Parallel computing,Network on a chip,Real-time computing,Computer cluster,Embedded system | Conference |
ISSN | Citations | PageRank |
1530-1591 | 51 | 1.52 |
References | Authors | |
11 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benoît Dupont de Dinechin | 1 | 197 | 12.60 |
| Duco van Amstel | 2 | 51 | 1.52 |
| Marc Poulhiès | 3 | 75 | 3.13 |
| Guillaume Lager | 4 | 51 | 1.86 |
| de Dinechin, B.D. | 5 | 51 | 1.52 |
| van Amstel, D. | 6 | 51 | 1.52 |