USENIX

USENIX ATC '16

Thanks to everyone who joined us in Denver, CO, for USENIX ATC '16. As part of our commitment to open access to research, the full Proceedings, audio recordings, and presentation slides are available ...
USENIX

Tiresias: A GPU Cluster Manager for Distributed Deep Learning

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

Firecracker: Lightweight Virtualization for Serverless Applications

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

Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning 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

Fuzzing with Code Fragments

Fuzz testing is an automated technique providing random data as input to a software system in the hope to expose a vulnerability. In order to be effective, the fuzzed input must be common enough to ...
USENIX

Managing Memory Tiers with CXL in Virtualized Environments

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

Orca: A Distributed Serving System for Transformer-Based Generative Models

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

Empowering Azure Storage with RDMA

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

ServerlessLLM: Low-Latency Serverless Inference for Large Language Models

This paper presents ServerlessLLM, a distributed system designed to support low-latency serverless inference for Large Language Models (LLMs). By harnessing the substantial near-GPU storage and memory ...
USENIX

MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters

With the sustained technological advances in machine learning (ML) and the availability of massive datasets recently, tech companies are deploying large ML-as-a-Service (MLaaS) clouds, often with ...
USENIX

Scalable Memory Protection in the PENGLAI Enclave

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 Systematic Evaluation of Transient Execution Attacks and Defenses

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 ...