1 citations · 1 across the 5 of their papers we have counts for
9 papers
QALM: Escaping Local Minima via Interleaved Exploration and Exploitation in Quantum Circuit Optimization
Aidan Wagner, Mingkuan Xu, Pengyu Liu +2
Quantum circuit optimizers face a fundamental limitation in how they tolerate temporary cost increases. At one extreme, greedy rule-based optimizers immediately apply any cost-redu…
Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents
Zhuoming Chen, Xinrui Zhong, Qilong Feng +5
Sparse attention is becoming increasingly important for serving large language models (LLMs) as generation lengths continue to grow. However, deploying and evaluating new sparse at…
Event Tensor: A Unified Abstraction for Compiling Dynamic Megakernel
Hongyi Jin, Bohan Hou, Guanjie Wang +18
Modern GPU workloads, especially large language model (LLM) inference, suffer from kernel launch overheads and coarse synchronization that limit inter-kernel parallelism. Recent me…
Prism: Symbolic Superoptimization of Tensor Programs
Mengdi Wu, Xiaoyu Jiang, Oded Padon +1
This paper presents Prism, the first symbolic superoptimizer for tensor programs. The key idea is sGraph, a symbolic, hierarchical representation that compactly encodes large class…
CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models
Xinle Cheng, Zhuoming Chen, Zhihao Jia
Diffusion models have revolutionized generative tasks, especially in the domain of text-to-image synthesis; however, their iterative denoising process demands substantial computati…
AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding
Zikun Li, Zhuofu Chen, Remi Delacourt +11
Modern large language model (LLM) applications exhibit diverse service-level objectives (SLOs), from low-latency requirements in interactive coding assistants to more relaxed const…