12 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.AR2026★ 2 cited
AIA: A Customized Multi-core RISC-V SoC for Discrete Sampling Workloads in 16 nm
Shirui Zhao, Nimish Shah, Wannes Meert +1
Probabilistic models (PMs) are essential in advancing machine learning capabilities, particularly in safety-critical applications involving reasoning and decision-making. Among the…
eess.SY2026
SparseCol: A 1320 BTOPS/W Precision-scalable NPU Exploiting Training-free Structured Bit-level Sparsity and Dynamic Dataflow
Man Shi, Vikram Jain, Weijie Jiang +4
Bit-serial computation enables sequential processing of data at the bit level, providing several advantages, such as scalable computational precision. This approach has gained sign…
cs.AR2025★ 12 cited
How to keep pushing ML accelerator performance? Know your rooflines!
Marian Verhelst, Luca Benini, Naveen Verma
The rapidly growing importance of Machine Learning (ML) applications, coupled with their ever-increasing model size and inference energy footprint, has created a strong need for sp…