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2 curated events
papersTODAY 04:00 UTC

BOOST: Concurrent Host Memory and HBM Access to Speed Up LLM Inference

A new arXiv paper proposes BOOST, a technique that lets GPUs read from host memory and high-bandwidth memory at the same time during large language model inference. Because GPU memory capacity and bandwidth are key bottlenecks for throughput, the approach aims to use both memory tiers concurrently rather than treating host memory as a slow fallback. The work targets faster LLM serving on existing CPU-to-GPU interconnect hardware.

papersTODAY 04:00 UTC

X-Stage Paper Models Post-Issue Backpressure in Fused GPU Communication

A new arXiv paper examines how device-initiated communication affects fused GPU kernels that issue remote stores straight from their compute pipelines, a common pattern in expert and tensor parallelism. The authors introduce X-Stage, a model of post-issue backpressure that arises once such stores have been dispatched. The work aims to characterize performance limits in these communication-computation overlapped workloads.