arXiv
Open Access
2020
A GPU Register File using Static Data Compression
Alexandra Angerd
Erik Sintorn
Per Stenström
Abstrak
GPUs rely on large register files to unlock thread-level parallelism for high throughput. Unfortunately, large register files are power hungry, making it important to seek for new approaches to improve their utilization. This paper introduces a new register file organization for efficient register-packing of narrow integer and floating-point operands designed to leverage on advances in static analysis. We show that the hardware/software co-designed register file organization yields a performance improvement of up to 79%, and 18.6%, on average, at a modest output-quality degradation.
Topik & Kata Kunci
Penulis (3)
A
Alexandra Angerd
E
Erik Sintorn
P
Per Stenström
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2020
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- en
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- arXiv
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- Open Access ✓