USENIX

We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

LegoOS: A Disseminated, Distributed OS for Hardware Resource Disaggregation

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

Driving Cache Replacement with ML-based LeCaR

Can machine learning (ML) be used to improve on existing cache replacement strategies? We propose a general framework called LeCaR that uses the ML technique of regret minimization to answer the ...
USENIX

HECO: Fully Homomorphic Encryption Compiler

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

Concordia: Distributed Shared Memory with In-Network Cache Coherence

Distributed shared memory (DSM) is experiencing a resurgence with emerging fast network stacks. Caching, which is still needed for reducing frequent remote access and balancing load, can incur high ...
USENIX

Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

Shinjuku: Preemptive Scheduling for μsecond-scale Tail Latency

The recently proposed dataplanes for microsecond scale applications, such as IX and ZygOS, use non-preemptive policies to schedule requests to cores. For the many real-world scenarios where request ...
USENIX

AFL++ : Combining Incremental Steps of Fuzzing Research

In this paper, we present AFL++, a community-driven open-source tool that incorporates state-of-the-art fuzzing research, to make the research comparable, reproducible, combinable and - most ...
USENIX

Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

Burstable Cloud Block Storage with Data Processing Units

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...