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Threads Shared Memories L 1 Cache Read-only Data Cache L 2 Cache DRAM
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mungiello, Innocenzo Rosa, Francesco De |
| Copyright Year | 2016 |
| Abstract | This paper presents the experimental evaluation of a new data mapping technique for the GPU shared memory, called Adaptive Modular Mapping (AMM). The evaluated technique aims to remap data across the shared memory physical banks, so as to increase parallel accesses, resulting in appreciable gains in terms of performance. Unless previous techniques described in literature, AMM does not increase shared memory size as a side effect of the conflict-avoidance technique. The paper also presents the experimental set-up used for the validation of the proposed memory mapping methodology. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://wpage.unina.it/seclab/CeRICT_PPPGCIC2016a.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
