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05/05/2023
Zelda: Video Analytics using Vision-Language Models
Advances in ML have motivated the design of video analytics systems that...
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01/08/2023
FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation Models
Sequence-based deep learning recommendation models (DLRMs) are an emergi...
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12/29/2022
Transactions Make Debugging Easy
We propose TROD, a novel transaction-oriented framework for debugging mo...
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11/09/2022
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure
We present RecD (Recommendation Deduplication), a suite of end-to-end in...
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08/27/2022
Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework
Developers are increasingly using function-as-a-service (FaaS) platforms...
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01/25/2022
SOL: Safe On-Node Learning in Cloud Platforms
Cloud platforms run many software agents on each server node. These agen...
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01/25/2022
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation
We propose RecShard, a fine-grained embedding table (EMB) partitioning a...
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11/14/2021
Practical Scheduling for Real-World Serverless Computing
Serverless computing has seen rapid growth due to the ease-of-use and co...
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08/20/2021
Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training
The data ingestion pipeline, responsible for storing and preprocessing t...
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04/28/2021
FaaT: A Transparent Auto-Scaling Cache for Serverless Applications
Function-as-a-Service (FaaS) has become an increasingly popular way for ...
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03/05/2021
ShEF: Shielded Enclaves for Cloud FPGAs
FPGAs are now used in public clouds to accelerate a wide range of applic...
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02/03/2021
Llama: A Heterogeneous Serverless Framework for Auto-Tuning Video Analytics Pipelines
The proliferation of camera-enabled devices and large video repositories...
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10/12/2020
RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report)
Low-latency online services have strict Service Level Objectives (SLOs) ...
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07/21/2020
DBOS: A Proposal for a Data-Centric Operating System
Current operating systems are complex systems that were designed before ...
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05/30/2019
INFaaS: Managed & Model-less Inference Serving
The number of applications relying on inference from machine learning mo...
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03/18/2019
A New Frontier for Pull-Based Graph Processing
The trade-off between pull-based and push-based graph processing engines...
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12/22/2018
Trevor: Automatic configuration and scaling of stream processing pipelines
Operating a distributed data stream processing workload efficiently at s...
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09/10/2018
DNN Dataflow Choice Is Overrated
Many DNN accelerators have been proposed and built using different micro...
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03/06/2018
Learning Memory Access Patterns
The explosion in workload complexity and the recent slow-down in Moore's...
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11/07/2017