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08/18/2023
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
We introduce Graph of Thoughts (GoT): a framework that advances promptin...
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06/19/2023
Co-design Hardware and Algorithm for Vector Search
Vector search has emerged as the foundation for large-scale information ...
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01/17/2023
AutoDDL: Automatic Distributed Deep Learning with Asymptotically Optimal Communication
Recent advances in deep learning base on growing model sizes and the nec...
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10/31/2022
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Generative Pre-trained Transformer (GPT) models set themselves apart thr...
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06/29/2022
ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast
Post-processing ensemble prediction systems can improve weather forecast...
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03/28/2022
FaasKeeper: a Blueprint for Serverless Services
FaaS (Function-as-a-Service) brought a fundamental shift into cloud comp...
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01/19/2022
Near-Optimal Sparse Allreduce for Distributed Deep Learning
Communication overhead is one of the major obstacles to train large deep...
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06/25/2021
RFaaS: RDMA-Enabled FaaS Platform for Serverless High-Performance Computing
The rigid MPI programming model and batch scheduling dominate high-perfo...
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05/26/2021
Towards Million-Server Network Simulations on Just a Laptop
The growing size of data center and HPC networks pose unprecedented requ...
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11/21/2020
Deep Data Flow Analysis
Compiler architects increasingly look to machine learning when building ...
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07/02/2020
Parallel Planar Subgraph Isomorphism and Vertex Connectivity
We present the first parallel fixed-parameter algorithm for subgraph iso...
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06/30/2020
Data Movement Is All You Need: A Case Study on Optimizing Transformers
Transformers have become widely used for language modeling and sequence ...
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06/18/2020
Shapeshifter Networks: Cross-layer Parameter Sharing for Scalable and Effective Deep Learning
We present Shapeshifter Networks (SSNs), a flexible neural network frame...
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11/19/2019
Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores
Single-issue processor cores are very energy efficient but suffer from t...
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02/27/2019
Stateful Dataflow Multigraphs: A Data-Centric Model for High-Performance Parallel Programs
With the ubiquity of accelerators, such as FPGAs and GPUs, the complexit...
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05/21/2018
