activity
20242026
most citedRapid GPU-Based Pangenome Graph Layout

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR2026

Programming AMD XDNA NPUs with Open-source Compiler Tools: A FlashAttention Case Study

Erwei Wang, Ephrem Wu, Victor J. B. Jung +4

Spatial NPUs such as AMD XDNA place compute tiles beside small local memories and leave data movement between them to software. Mapping a multi-stage workload onto such a device is…

cs.LG2026

From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs

Jiajie Li, Erwei Wang, Zhiru Zhang +1

Spatial neural processing units (NPUs) provide an energy-efficient platform for edge LLM inference, but efficiently deploying an LLM end-to-end on such hardware remains labor-inten…

cs.PL2025

Dato: A Task-Based Programming Model for Dataflow Accelerators

Shihan Fang, Hongzheng Chen, Niansong Zhang +4

Recent deep learning workloads increasingly push computational demand beyond what current memory systems can sustain, with many kernels stalling on data movement rather than comput…

cs.LG2025

HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization

Hongzheng Chen, Yingheng Wang, Yaohui Cai +10

While Large Language Models (LLMs) have demonstrated significant advancements in reasoning and agent-based problem-solving, current evaluation methodologies fail to adequately asse…

cs.DC2024★ 4 cited

Rapid GPU-Based Pangenome Graph Layout

Jiajie Li, Jan-Niklas Schmelzle, Yixiao Du +6

Computational Pangenomics is an emerging field that studies genetic variation using a graph structure encompassing multiple genomes. Visualizing pangenome graphs is vital for under…