Summary: Demystifying NCCL: An In-depth Analysis of GPU Communication Protocols and Algorithms
Summary for paper ‘Demystifying NCCL: An In-depth Analysis of GPU Communication Protocols and Algorithms’
Summary: PyTorch: An Imperative Style, High-Performance Deep Learning Library
Summary for paper ‘PyTorch: An Imperative Style, High-Performance Deep Learning Library’
Summary: AWQ: Activation-Aware Weight Quantization for on-device LLM Compression and Acceleration
Summary for paper ‘AWQ: Activation-Aware Weight Quantization for on-device LLM Compression and Acceleration’
Summary: Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve
Summary for paper ‘Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve’
Summary: SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
Summary for paper ‘SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills’
Summary: SGLang: Efficient Execution of Structured Language Model Programs
Summary for paper ‘SGLang: Efficient Execution of Structured Language Model Programs’
Bi-weekly Journal: Contributions to vLLM
My bi-weekly journal for contributions to vllm.
Summary: MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models
Summary for paper ‘MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models’
Summary: EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
Summary for paper ‘EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test’
Summary: DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Summary for paper ‘DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model’