Page 38 - 2200+ Top USENIX Online Courses [2026]

Voltrix - Sparse Matrix-Matrix Multiplication on Tensor Cores with Asynchronous and Balanced Kernel Optimization

Fast ACS - Low-Latency File-Based Ordered Message Delivery at Scale

SolFS - An Operation-Log Versioning File System for Hash-free Efficient Mobile Cloud Backup

QFactory - Accelerating Quantized Large Language Model Serving with Qtile Graphs

Obscura - Concealing Recomputation Overhead in Training of Large Language Models with Bubble-filling Pipeline Transformation

Minos - A Lightweight and Dynamic Defense against Traffic Analysis in Programmable Data Planes

GREYHOUND - Hunting Fail-Slows in Hybrid-Parallel Training at Scale

Toppings - CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference

JENGA - Enhancing LLM Long-Context Fine-tuning with Contextual Token Sparsity

mTuner - Accelerating Parameter-Efficient Fine-Tuning on Multi-GPU Servers with Elastic Tensor

ASTERINAS - A Linux ABI-Compatible, Rust-Based Framekernel OS with a Small and Sound TCB

Crash Consistency in Block-Level Caching Systems - An Open CAS Case Study

CLONE - Customizing LLMs for Efficient Latency-Aware Inference at the Edge

Towards Optimal Rack-scale μs-level CPU Scheduling through In-Network Workload Shaping

FlexPipe - Maximizing Training Efficiency for Transformer-based Models with Variable-Length Inputs

USENIX Courses

Voltrix - Sparse Matrix-Matrix Multiplication on Tensor Cores with Asynchronous and Balanced Kernel Optimization

Fast ACS - Low-Latency File-Based Ordered Message Delivery at Scale

SolFS - An Operation-Log Versioning File System for Hash-free Efficient Mobile Cloud Backup

QFactory - Accelerating Quantized Large Language Model Serving with Qtile Graphs

Obscura - Concealing Recomputation Overhead in Training of Large Language Models with Bubble-filling Pipeline Transformation

Minos - A Lightweight and Dynamic Defense against Traffic Analysis in Programmable Data Planes

GREYHOUND - Hunting Fail-Slows in Hybrid-Parallel Training at Scale

Toppings - CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference

JENGA - Enhancing LLM Long-Context Fine-tuning with Contextual Token Sparsity

mTuner - Accelerating Parameter-Efficient Fine-Tuning on Multi-GPU Servers with Elastic Tensor

ASTERINAS - A Linux ABI-Compatible, Rust-Based Framekernel OS with a Small and Sound TCB

Crash Consistency in Block-Level Caching Systems - An Open CAS Case Study

CLONE - Customizing LLMs for Efficient Latency-Aware Inference at the Edge

Towards Optimal Rack-scale μs-level CPU Scheduling through In-Network Workload Shaping

FlexPipe - Maximizing Training Efficiency for Transformer-based Models with Variable-Length Inputs