Salca is a new ASIC accelerator that achieves 3.82× speedup and 74.19× energy efficiency over A100 for long-context attention via dual-compression dynamic sparse attention and pipelined hardware.
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WISP suppresses wasted drafting time and verification interference in edge-cloud speculative LLM serving through dynamic drafting and SLO-aware batching, delivering up to 2.1x capacity and 1.94x goodput gains over centralized and prior baselines.
ConfigSpec shows that optimal configurations for speculative LLM inference conflict across goodput (favoring smallest drafters at device-specific K=2-10), cost (favoring largest drafters at K=2), and energy (favoring smallest drafters at K=2), requiring profiling-based selection instead of fixed or
citing papers explorer
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Salca: A Sparsity-Aware Hardware Accelerator for Efficient Long-Context Attention Decoding
Salca is a new ASIC accelerator that achieves 3.82× speedup and 74.19× energy efficiency over A100 for long-context attention via dual-compression dynamic sparse attention and pipelined hardware.
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WISP: Waste- and Interference-Suppressed Distributed Speculative LLM Serving at the Edge via Dynamic Drafting and SLO-Aware Batching
WISP suppresses wasted drafting time and verification interference in edge-cloud speculative LLM serving through dynamic drafting and SLO-aware batching, delivering up to 2.1x capacity and 1.94x goodput gains over centralized and prior baselines.
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ConfigSpec: Profiling-Based Configuration Selection for Distributed Edge--Cloud Speculative LLM Serving
ConfigSpec shows that optimal configurations for speculative LLM inference conflict across goodput (favoring smallest drafters at device-specific K=2-10), cost (favoring largest drafters at K=2), and energy (favoring smallest drafters at K=2), requiring profiling-based selection instead of fixed or