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OSDI '26 - Tessera: A Holistic Pipeline Parallelism Framework for Trillion-Parameter Heterogeneous
OSDI '26 - VTC: DNN Compilation with Virtual Tensors for Data Movement Elimination
OSDI '26 - Svalinn: Overload Control in Large-Scale Servers with Multiple Resource Bottlenecks
OSDI '26 - qTPU: Hybrid Tensor Networks for Quantum-Classical Acceleration
OSDI '26 - μShell: A Microkernel-based FPGA Shell Architecture
OSDI '26 - Revisiting Pipeline Parallelism for LLM Serving
OSDI '26 - Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative...
OSDI '26 - PIMS: Fleet-Wide Datacenter Maintenance with Minimal Capacity Buffer and Predictable Lat…
OSDI '26 - PeeR: First-Class Scheduling for Latency-Critical eBPF Applications
OSDI '22 - UPGRADVISOR: Early Adopting Dependency Updates Using Hybrid Program Analysis...
OSDI '25 - WaferLLM: Large Language Model Inference at Wafer Scale
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Last Updated: September 20, 2026
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Summary
Bayesian Code Diffusion for Efficient Automatic Deep Learning KPerfIR: Towards a Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads Yue ... WaferLLM: Large Language Model Inference at Wafer Scale Congjie He, Yeqi Huang, and Pei Mu, University of Edinburgh; ...
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