Invited - Heterogeneous datacenters
Author:
Affiliation:
1. University of California, Los Angeles
2. University of California, Los Angeles and Falcon Computing Solutions, Inc.
Funder
NSF, Intel, CFAR
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2897937.2905012
Reference16 articles.
1. H. Esmaeilzadeh etal "Dark silicon and the end of multicore scaling " in ISCA'11. 10.1145/2000064.2000108 H. Esmaeilzadeh et al. "Dark silicon and the end of multicore scaling " in ISCA'11 . 10.1145/2000064.2000108
2. Clearing the clouds
3. R. Hameed etal "Understanding sources of inefficiency in general-purpose chips " in ISCA'10. 10.1145/1815961.1815968 R. Hameed et al. "Understanding sources of inefficiency in general-purpose chips " in ISCA'10 . 10.1145/1815961.1815968
4. Web search using mobile cores
5. Scale-out processors
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2. DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit;2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC);2022-01-17
3. MOCHA;The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays;2021-02-17
4. HeteroYARN: A Heterogeneous FPGA-Accelerated Architecture Based on YARN;IEEE Transactions on Parallel and Distributed Systems;2020-12-01
5. A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications;IEEE Transactions on Knowledge and Data Engineering;2020
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