2 citations · 5 across the 14 of their papers we have counts for
14 papers
FlashAccel: Leveraging High-Bandwidth Flash (HBF) for High-Throughput LLM Inference
Xinyu Wang, Yalong Xue, Xiaotian Sun +5
Large language model (LLM) inference is increasingly limited by the capacity of High-Bandwidth Memory (HBM) in GPUs, as model weights and KV cache grow rapidly. High-Bandwidth Flas…
HYLU: Hybrid Parallel Sparse LU Factorization
Xiaoming Chen
This article introduces HYLU, a hybrid parallel LU factorization-based general-purpose solver designed for efficiently solving sparse linear systems (Ax=b) on multi-core shared-mem…
CKTSO: High-Performance Parallel Sparse Linear Solver for General Circuit Simulations
Xiaoming Chen
This paper introduces CKTSO (abbreviation of "circuit solver"), a novel sparse linear solver specially designed for the simulation program with integrated circuit emphasis (SPICE).…
PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators
Xiaotian Sun, Xinyu Wang, Wanqian Li +2
Various processing-in-memory (PIM) accelerators based on various devices, micro-architectures, and interfaces have been proposed to accelerate deep neural networks (DNNs). How to d…
BitQ: Tailoring Block Floating Point Precision for Improved DNN Efficiency on Resource-Constrained Devices
Yongqi Xu, Yujian Lee, Gao Yi +6
Deep neural networks (DNNs) are powerful for cognitive tasks such as image classification, object detection, and scene segmentation. One drawback however is the significant high co…
Older and Wiser: The Marriage of Device Aging and Intellectual Property Protection of Deep Neural Networks
Ning Lin, Shaocong Wang, Yue Zhang +6
Deep neural networks (DNNs), such as the widely-used GPT-3 with billions of parameters, are often kept secret due to high training costs and privacy concerns surrounding the data u…