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Conflict-Aware Compiler for Hierarchical Register File on GPUs
Modern graphics processing units (GPUs) leverage a high degree of thread-level parallelism, necessitating large-sized register files …
Eunbi Jeong
,
Eun Seong Park
,
Gunjae Koo
,
Yunho Oh
,
Myung Kuk Yoon
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Hi-End: Hierarchical, Endurance-Aware STT-MRAM-Based Register File for Energy-Efficient GPUs
Modern Graphics Processing Units (GPUs) require large hardware resources for massive parallel thread executions. In particular, modern …
Won Jeon
,
Jun Hyun Park
,
Yoonsoo Kim
,
Gunjae Koo
,
Won Woo Ro
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Linebacker: Preserving Victim Cache Lines in Idle Register Files of GPUs
Modern GPUs suffer from cache contention due to the limited cache size that is shared across tens of concurrently running warps. To …
Yunho Oh
,
Gunjae Koo
,
Murali Annavaram
,
Won Woo Ro
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DOI
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Improving Energy Efficiency of GPUs through Data Compression and Compressed Execution
GPU design trends show that the register file size will continue to increase to enable even more thread level parallelism. As a result …
Sangpil Lee
,
Keunsoo Kim
,
Gunjae Koo
,
Hyeran Jeon
,
Won Woo Ro
,
Murali Annavaram
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DOI
Warped-Compression: Enabling Power Efficient GPUs through Register Compression
This paper presents Warped-Compression, a warp-level register compression scheme for reducing GPU power consumption. This work is …
Sangpil Lee
,
Keunsoo Kim
,
Gunjae Koo
,
Hyeran Jeon
,
Won Woo Ro
,
Murali Annavaram
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DOI
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