2 citations · 2 across the 6 of their papers we have counts for
7 papers
Not All AI Agents Are Equal: Characterizing Resource and Performance Dynamics
Wonmi Choi, Minuk Park, Zhixiong Niu +3
LLM-based AI agents process user requests through iterative reasoning and tool execution, often involving the invocation of remote LLM APIs with local tool containers. This executi…
SKILL-DISCO: Distilling and Compiling Agent Traces into Reusable Procedural Skills
Zhongxin Guo, Danrui Qi, Hanwen Gu +2
Agents often repeatedly solve similar task instances from scratch, leading to unnecessary reasoning cost and long execution traces. Prior work has explored workflow reuse and execu…
LUMINA: LLM-Guided GPU Architecture Exploration via Bottleneck Analysis
Tao Zhang, Rui Ma, Shuotao Xu +2
GPU design space exploration (DSE) for modern AI workloads, such as Large-Language Model (LLM) inference, is challenging because of GPUs' vast, multi-modal design spaces, high simu…
TENET: An Efficient Sparsity-Aware LUT-Centric Architecture for Ternary LLM Inference On Edge
Zhirui Huang, Rui Ma, Shijie Cao +5
Ternary quantization has emerged as a powerful technique for reducing both computational and memory footprint of large language models (LLM), enabling efficient real-time inference…
NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering
Zhe Zhou, Yiqi Chen, Tao Zhang +8
The Compute Express Link (CXL) interconnect makes it feasible to integrate diverse types of memory into servers via its byte-addressable SerDes links. Considering the various acces…
SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation
Yifan Xiong, Yuting Jiang, Ziyue Yang +17
Reliability in cloud AI infrastructure is crucial for cloud service providers, prompting the widespread use of hardware redundancies. However, these redundancies can inadvertently…