TY - GEN
T1 - Computing with near data
AU - Tang, Xulong
AU - Kandemir, Mahmut Taylan
AU - Zhao, Hui
AU - Jung, Myoungsoo
AU - Karakoy, Mustafa
PY - 2019/6/20
Y1 - 2019/6/20
N2 - The cost of moving data between compute elements and storage elements plays a signiicant role in shaping the overall performance of applications.We present a compiler-driven approach to reducing data movement costs. Our approach, referred to as Computing with Near Data (CND), is built upon a concept called ?recomputationž, in which a costly data access is replaced by a few less costly data accesses plus some extra computation, if the cumulative cost of the latter is less than that of the costly data access. Experimental result reveals that i) the average recomputability across our benchmarks is 51.1%, ii) our compiler-driven strategy is able to exploit 79.3% of the recomputation opportunities presented by our workloads, and iii) our enhancements increase the value of the recomputability metric signiicantly.
AB - The cost of moving data between compute elements and storage elements plays a signiicant role in shaping the overall performance of applications.We present a compiler-driven approach to reducing data movement costs. Our approach, referred to as Computing with Near Data (CND), is built upon a concept called ?recomputationž, in which a costly data access is replaced by a few less costly data accesses plus some extra computation, if the cumulative cost of the latter is less than that of the costly data access. Experimental result reveals that i) the average recomputability across our benchmarks is 51.1%, ii) our compiler-driven strategy is able to exploit 79.3% of the recomputation opportunities presented by our workloads, and iii) our enhancements increase the value of the recomputability metric signiicantly.
UR - http://www.scopus.com/inward/record.url?scp=85067667933&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067667933&partnerID=8YFLogxK
U2 - 10.1145/3309697.3331487
DO - 10.1145/3309697.3331487
M3 - Conference contribution
T3 - SIGMETRICS Performance 2019 - Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems
SP - 27
EP - 28
BT - SIGMETRICS Performance 2019 - Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems
PB - Association for Computing Machinery, Inc
T2 - 14th Joint Conference of International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2019 and IFIP Performance Conference 2019, SIGMETRICS/Performance 2019
Y2 - 24 June 2019 through 28 June 2019
ER -