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Christos Kozyrakis

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SYMI: Efficient Mixture-of-Experts Training via Model and Optimizer State DecouplingNSDI '262026-05-04
SYMI claims a practical solution: it decouple optimizer placement from expert parameters so optimizer state is static optimizer sharding across nodes while…
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Sparse Checkpointing for Fast and Reliable MoE TrainingNSDI '262026-05-04
MoEvement is an in-memory checkpointing system for MoE models that implements sparse checkpointing, sparse-to-dense conversion, and upstream logging to avoid…
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High-throughput and Flexible Host Networking for Accelerated Computing18th USENIX Symposium on Operating Systems Design and Implementation (OSDI '24)2024-07-10
ZeroNIC is a co-designed FPGA NIC plus software stack that physically separates control/data separation to deliver a zero-copy data path to CPU and GPU memory…
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Honeycomb: Secure and Efficient GPU Executions via Static ValidationOSDI 20232023-07-10
Honeycomb is a software GPU TEE that uses static validation of GPU binaries plus OS-level security monitors to remove the OS and driver from the TCB, prototype…
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INFaaS: Automated Model-less Inference ServingUSENIX ATC '212021-07-14
INFaaS automatically generates and profiles hundreds of model variants from trained models, then picks per-query combinations of model, framework, and hardware…
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From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional ContainersUSENIX ATC '192019-07-10
A toolkit called gg packages programs as content‑hashed lightweight containers called gg thunks and composes them into a linked GG IR to offload entire jobs to…
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Shinjuku: Preemptive Scheduling for μsecond-scale Tail LatencyNSDI 20192019-02-26
Kostis Kaffes, Timothy Chong, and Jack Tigar Humphries, Stanford University; Adam Belay, Massachusetts Institute of Technology; David Mazières and Christos…
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