4 papers
SPEC CPU2026: Characterization, Representativeness, and Cross-Suite Comparison
Ruihao Li, Andrew Jacob, Neeraja J. Yadwadkar +1
Specialized accelerators dominate AI workloads, but CPUs remain critical for latency-sensitive workloads, agentic AI, and many other everyday services. Their performance therefore…
Design Space Exploration of DMA based Finer-Grain Compute Communication Overlap
Shagnik Pal, Shaizeen Aga, Suchita Pati +2
Modern ML workloads demand distributing training and inference across multiple GPUs. However, these parallelization techniques often suffer from exposed critical-path communication…
Oneiros: KV Cache Optimization through Parameter Remapping for Multi-tenant LLM Serving
Ruihao Li, Shagnik Pal, Vineeth Narayan Pullu +4
KV cache accelerates LLM inference by avoiding redundant computation, at the expense of memory. To support larger KV caches, prior work extends GPU memory with CPU memory via CPU-o…
SpeedMalloc: Improving Multi-threaded Applications via a Lightweight Core for Memory Allocation
Ruihao Li, Qinzhe Wu, Krishna Kavi +4
Memory allocation, though constituting only a small portion of the executed code, can have a "butterfly effect" on overall program performance, leading to significant and far-reach…