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pro vyhledávání: '"Caleb Terrill"'
Autor:
Linfang Wang, Caleb Terrill, Maximilian Stark, Zongwang Li, Sean Chen, Chester Hulse, Calvin Kuo, Richard D. Wesel, Gerhard Bauch, Rekha Pitchumani
This paper uses the reconstruction-computation-quantization (RCQ) paradigm to decode low-density parity-check (LDPC) codes. RCQ facilitates dynamic non-uniform quantization to achieve good frame error rate (FER) performance with very low message prec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6b58704e8896fcb296d784a480504e2
http://arxiv.org/abs/2111.08920
http://arxiv.org/abs/2111.08920
Autor:
Caleb Terrill, Fred Chu
Modern hardware design trends have shifted towards specialized hardware acceleration for computationally intensive tasks like machine learning and computer vision. While these complex workloads can be accelerated by commercial GPUs, domain-specific h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81213bcaf64bef4f2f5a3dfa2993cb7f
Autor:
Caleb Terrill, Linfang Wang, Sean Chen, Chester Hulse, Calvin Kuo, Richard Wesel, Dariush Divsalar
Non-uniform message quantization techniques such as reconstruction-computation-quantization (RCQ) improve error-correction performance and decrease hardware complexity of low-density parity-check (LDPC) decoders that use a flooding schedule. Layered
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09debb94418463a48f1bda6da60af44e