Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Youngsok Kim"'
Publikováno v:
IEEE Access, Vol 12, Pp 20767-20778 (2024)
Recent commodity x86 CPUs still dominate the majority of supercomputers and most of them implement vector architectures to support single instruction multiple data (SIMD). Although research on architectural exploration requires computer architecture
Externí odkaz:
https://doaj.org/article/6875dea4b3a648d4a7e5ac745b041726
Autor:
Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee
Sequence alignment forms an important backbone in many sequencing applications. A commonly used strategy for sequence alignment is an approximate string matching with a two-dimensional dynamic programming approach. Although some prior work has been c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f92b043041ef1d9a1d0a00d9405989fc
http://arxiv.org/abs/2301.09310
http://arxiv.org/abs/2301.09310
In training of modern large natural language processing (NLP) models, it has become a common practice to split models using 3D parallelism to multiple GPUs. Such technique, however, suffers from a high overhead of inter-node communication. Compressin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::594fbd7d8eb74cdd32c8dbbb4cafbe65
Graph convolutional networks (GCNs) are becoming increasingly popular as they can process a wide variety of data formats that prior deep neural networks cannot easily support. One key challenge in designing hardware accelerators for GCNs is the vast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d736dd4d49bd78f72b7544518ee88663
Publikováno v:
Proceedings of the 23rd ACM/IFIP International Middleware Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2993f70850a484eed34ec7fa2ffaf567
https://doi.org/10.1145/3528535.3531513
https://doi.org/10.1145/3528535.3531513
Autor:
Shinnung Jeong, Yongwoo Lee, Jaeho Lee, Heelim Choi, Seungbin Song, Jinho Lee, Youngsok Kim, Hanjun Kim
Publikováno v:
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac8c42e827bb4bec89ee84c18227b039
https://doi.org/10.1145/3559009.3569686
https://doi.org/10.1145/3559009.3569686
Publikováno v:
IEEE Computer Architecture Letters. 20:102-105
GCNs (Graph Convolutional Networks) are becoming increasingly popular in the field of neural networks due to their ability to analyze many kinds of irregular data. Along with the rapid growth, there are various accelerators being proposed to mitigate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d9a74b6bf669cebbaec165bdaa1a5ab
https://doi.org/10.1109/lca.2021.3090954
https://doi.org/10.1109/lca.2021.3090954
Publikováno v:
Proceedings of the 49th Annual International Symposium on Computer Architecture.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca6fba8f1ee61964e09f7bb09a2da7ce
https://doi.org/10.1145/3470496.3527384
https://doi.org/10.1145/3470496.3527384
Publikováno v:
DAC
We present dataflow mirroring, architectural support for low-overhead fine-grained systolic array allocation which overcomes the limitations of prior coarse-grained spatial-multitasking Neural Processing Unit (NPU) architectures. The key idea of data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4df208d08ca56346b4c139b545b2fb1
https://doi.org/10.1109/dac18074.2021.9586312
https://doi.org/10.1109/dac18074.2021.9586312
Autor:
Sungjun Cho, William J. Song, Shinnung Jeong, Hanjun Kim, Youngsok Kim, Yongwoo Lee, Changsu Kim
Publikováno v:
CGO
In the embedded device market, custom hardware platforms such as an application specific integrated circuit (ASIC) and a field programmable gate array (FPGA) are attractive thanks to their high performance and power efficiency. However, its huge desi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::932295366047d8569450719b0a6f71b4
https://doi.org/10.1109/cgo51591.2021.9370341
https://doi.org/10.1109/cgo51591.2021.9370341