Computer System Architecture Lab
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Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Sparse matrix-vector multiplication (SpMV) is a fundamental operation across diverse domains, including scientific computing, machine …
Jangho Lim
,
Dongin Shin
,
Uichan Kim
,
Jinhyeok Choi
,
Kyungmin Kim
,
Snagwon Shin
,
Snagwoo Park
,
Gunjae Koo
,
Taeweon Suh
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SumcheckPIM: An Efficient HBM-Based PIM Architecture for Linear Complexity Zero Knowledge Proofs
Zero-knowledge proofs (ZKPs) are emerging as a core technology for privacy-preserving computation. Despite steady progress in protocol …
Sunchae Kim
,
Taewoon Kang
,
Sangwon Shin
,
Taeweon Suh
,
Yibin Yang
,
Gunjae Koo
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SparsePIM+: Accelerating SpMV on HBM-Based PIM via Logic-Die Accumulators with Opportunistic TSV Utilization
Sparse matrix–vector multiplication (SpMV) is a fundamental kernel in many applications, yet its performance is severely limited by …
Taewoon Kang
,
Namhun Kim
,
Geonwoo Choi
,
Taeweon Suh
,
Gunjae Koo
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SparsePIM: An Efficient HBM-Based PIM Architecture for Sparse Matrix-Vector Multiplications
Sparse matrix-vector multiplication (SpMV) is a fundamental operation across diverse domains, including scientific computing, machine …
Taewoon Kang
,
Geonwoo Choi
,
Taeweon Suh
,
Gunjae Koo
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