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08/19/2023
Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs
Over the past few years, Large Language Models of Code (Code LLMs) have ...
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05/22/2023
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels
Machine Learning (ML) models contain highly-parallel computations, such ...
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08/17/2022
MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation
Large language models have demonstrated the ability to generate both nat...
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05/12/2021
Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads
Recent trend towards increasing large machine learning models require bo...
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09/14/2020
NextDoor: GPU-Based Graph Sampling for Graph Machine Learning
Representation learning is a fundamental task in machine learning. It co...
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09/16/2019
Model-Based Warp-Level Tiling for Image Processing Programs on GPUs
The efficient execution of image processing pipelines on GPUs is an area...
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02/15/2019
Formal Foundations of Serverless Computing
A robust, large-scale web service can be difficult to engineer. When dem...
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01/25/2019
Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code
All major web browsers now support WebAssembly, a low-level bytecode int...
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01/25/2019
Mind the Gap: Analyzing the Performance of WebAssembly vs. Native Code
All major web browsers now support WebAssembly, a low-level bytecode int...
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01/16/2019
