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Predictive Multi-Tier Memory Management for KV Cache in Large-Scale GPU Inference  📦CPU Caches
arxiv.org·5d
FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving  🌐Distributed Systems
arxiv.org·6d
Efficient, VRAM-Constrained xLM Inference on Clients  ⚡SIMD
arxiv.org·6d
NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures  ⚡Hardware Acceleration
arxiv.org·5d
End-to-End and Phase-Level Performance Optimization for Hyperledger Fabric  ⚡Low-Latency Systems
arxiv.org·5d
AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving  ⚡Low-Latency Systems
arxiv.org·6d
AnTi-MiCS: Analytical Framework for Bounding Time in Embedded Mixed-Criticality Systems  ⚡Low-Latency Systems
arxiv.org·5d
RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts  ♟️Chess Engines
arxiv.org·6d
Efficient Training on Multiple Consumer GPUs with RoundPipe  🖥️GPU Computing
arxiv.org·5d
DAK: Direct-Access-Enabled GPU Memory Offloading with Optimal Efficiency for LLM Inference  ⚡DMA
arxiv.org·6d
DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference  ⚡Low-Latency Systems
arxiv.org·6d
(POSTER) From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications  📐Data-Oriented Design
arxiv.org·1d

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