From 6522a0953415700f2b30569a703125bb3b79f963 Mon Sep 17 00:00:00 2001 From: Hansung Kim Date: Mon, 13 Oct 2025 21:18:37 -0700 Subject: [PATCH] Update talk info --- README.md | 29 ++++++++++++++++++++++++----- 1 file changed, 24 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 3a2a435..28b303e 100644 --- a/README.md +++ b/README.md @@ -62,17 +62,36 @@ There has been increasing interest in developing and accelerating mixed-precisio --- -## Virgo and Muon: Enabling Scalable Matrix Units and a New ASIC-Focused SIMT Core with Vortex +## Virgo and Radiance: Enabling Scalable Matrix Units and an SoC-based GPU Platform with Vortex **Presenter:** Hansung Kim (UC Berkeley) ### Abstract -*Abstract text to be provided.* +Modern GPUs integrate specialized matrix units like Tensor Cores to accelerate +deep learning. However, their tight coupling with SIMT cores limits tensor +operation size due to register file and bandwidth constraints, hindering both +scalability and energy efficiency. + +To address this limitation, We present Virgo, a GPU microarchitecture that +integrates matrix units at the SIMT cluster level. By physically disaggregating +the matrix units from SIMT cores, Virgo supports larger tiles, lowers +instruction overhead, and improves data reuse and energy efficiency. Leveraging +the Vortex HW/SW stack, Virgo demonstrates full-system design and evaluation +for fused kernels such as FlashAttention. + +Building on top of Virgo and Vortex, we introduce our recent work on Radiance, +an ASIC SoC–based GPU platform within Chipyard. Radiance features the new +Chisel-based Muon SIMT core which improves PPA via a redesigned issue pipeline, +dynamic warp occupancy support, and an extended ISA that expands register +capacity while reducing stack accesses. We discuss tentative plans for +a silicon tape-out. ### Bio **Hansung Kim** -Hansung Kim is a 6th-year Ph.D. student in EECS at UC Berkeley, advised by Prof. Sophia Shao. His work focuses on GPU microarchitecture and -hardware/software co-design, with strong technical expertise in RTL implementation, GPU kernel development, and SoC integration. He is currently -on the job market for industry positions and welcomes opportunities to connect. +Hansung Kim is a Ph.D. candidate at UC Berkeley, advised by Prof. Sophia +Shao. His research focuses on GPU microarchitecture and hardware/software +co-design, with technical expertise in RTL implementation, GPU kernel +development and SoC integration. He is currently on the job market for +industry positions and welcomes opportunities to connect. ---