5 papers
VortexSynth: Profile-guided benchmark reconstruction for GPU architecture research
Huanzhi Pu, Chulhyung Park, Chihyo Ahn +2
GPU architecture research requires representative benchmarks that can execute on new designs. However, many vendor-tailored workloads and library kernels cannot run directly on res…
AsyncSparse: Accelerating Sparse Matrix-Matrix Multiplication on Asynchronous GPU Architectures
Jie Liu, Huanzhi Pu, Zhiru Zhang
Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental kernel across scientific computing and machine learning. While prior work accelerates SpMM using Tensor Cores, no existi…
CuLifter: Lifting GPU Binaries to Typed IR
Jisheng Zhao, Huanzhi Pu, Shinnung Jeong +2
GPU compilers merge all data types into a single unified register file, erasing the type information that binary-analysis tools rely on. We show that type recovery from this untype…
Inside VOLT: Designing an Open-Source GPU Compiler
Shinnung Jeong, Chihyo Ahn, Huanzhi Pu +3
Recent efforts in open-source GPU research are opening new avenues in a domain that has long been tightly coupled with a few commercial vendors. Emerging open GPU architectures def…
Hardware vs. Software Implementation of Warp-Level Features in Vortex RISC-V GPU
Huanzhi Pu, Rishabh Ravi, Shinnung Jeong +5
RISC-V GPUs present a promising path for supporting GPU applications. Traditionally, GPUs achieve high efficiency through the SPMD (Single Program Multiple Data) programming model.…