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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jian Wang Sohl, J. Kraigher, O. Dake Liu |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electrical Engineering, Linköping University, Sweden (Jian Wang; Sohl, J.; Kraigher, O.; Dake Liu) |
| Abstract | In this paper, a novel parallel DSP platform based on master-multi-SIMD architecture is introduced. The platform is named ePUMA [1]. The essential technology is to use separated data access kernels and algorithm kernels to minimize the communication overhead of parallel processing by running the two types of kernels in parallel. ePUMA platform is optimized for predictable computing. The memory subsystem design that relies on regular and predictable memory accesses can dramatically improve the performance according to benchmarking results. As a scalable parallel platform, the chip area is estimated for different number of co-processors. The aim of ePUMA parallel platform is to achieve low power high performance embedded parallel computing with low silicon cost for communications and similar signal processing applications. |
| File Size | 908852 |
| File Format | |
| ISBN | 9781424463671 |
| e-ISBN | 9781424463701 |
| DOI | 10.1109/ICETC.2010.5529952 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Embedded computing data permutation Costs multi-bank memory SIMD architecture Concurrent computing Signal processing algorithms Digital signal processing Computer architecture Parallel processing Silicon Kernel chip multi-processor conflict-free memory access Coprocessors |
| Content Type | Text |
| Resource Type | Article |
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