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08/31/2023
SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
Large Language Model (LLM) inference consists of two distinct phases - p...
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10/12/2021
Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
Training Deep Neural Networks (DNNs) is a widely popular workload in bot...
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10/27/2020
Memory Optimization for Deep Networks
Deep learning is slowly, but steadily, hitting a memory bottleneck. Whil...
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07/14/2020
Analyzing and Mitigating Data Stalls in DNN Training
Training Deep Neural Networks (DNNs) is resource-intensive and time-cons...
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09/23/2019
RECIPE : Converting Concurrent DRAM Indexes to Persistent-Memory Indexes
We present Recipe, a principled approach for converting concurrent DRAM ...
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06/28/2019
Analyzing GDPR Compliance Through the Lens of Privacy Policy
With the arrival of the European Union's General Data Protection Regulat...
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10/05/2018
Finding Crash-Consistency Bugs with Bounded Black-Box Crash Testing
We present a new approach to testing file-system crash consistency: boun...
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07/26/2017
