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07/03/2023
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems
With the emergence of large foundational models, model-serving systems a...
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06/21/2023
Subgraph Stationary Hardware-Software Inference Co-Design
A growing number of applications depend on Machine Learning (ML) functio...
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06/20/2023
DynaQuant: Compressing Deep Learning Training Checkpoints via Dynamic Quantization
With the increase in the scale of Deep Learning (DL) training workloads ...
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01/26/2023
SuperFed: Weight Shared Federated Learning
Federated Learning (FL) is a well-established technique for privacy pres...
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11/25/2022
Signed Binary Weight Networks
Efficient inference of Deep Neural Networks (DNNs) is essential to makin...
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10/26/2022
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification
Machine Learning (ML) research has focused on maximizing the accuracy of...
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03/11/2022
Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing
This paper introduces a novel approach to automatic ahead-of-time (AOT) ...
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04/26/2021
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment
The emergence of CNNs in mainstream deployment has necessitated methods ...
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08/10/2020
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
Deep learning models have achieved expert-level performance in healthcar...
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01/14/2020
Cloudburst: Stateful Functions-as-a-Service
Function-as-a-Service (FaaS) platforms and "serverless" cloud computing ...
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01/08/2020
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline
Prior research in resource scheduling for machine learning training work...
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01/28/2019
The OoO VLIW JIT Compiler for GPU Inference
Current trends in Machine Learning (ML) inference on hardware accelerate...
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12/31/2018
Dynamic Space-Time Scheduling for GPU Inference
Serving deep neural networks in latency critical interactive settings of...
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12/10/2018
Serverless Computing: One Step Forward, Two Steps Back
Serverless computing offers the potential to program the cloud in an aut...
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12/05/2018
InferLine: ML Inference Pipeline Composition Framework
The dominant cost in production machine learning workloads is not traini...
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12/16/2017
Ray: A Distributed Framework for Emerging AI Applications
The next generation of AI applications will continuously interact with t...
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06/03/2017