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08/30/2023
Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey
Neural rendering has garnered substantial attention owing to its capacit...
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07/17/2023
Quarl: A Learning-Based Quantum Circuit Optimizer
Optimizing quantum circuits is challenging due to the very large search ...
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05/16/2023
SpecInfer: Accelerating Generative LLM Serving with Speculative Inference and Token Tree Verification
The high computational and memory requirements of generative large langu...
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10/02/2022
Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks
As more practical and scalable quantum computers emerge, much attention ...
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08/02/2022
OLLIE: Derivation-based Tensor Program Optimizer
Boosting the runtime performance of deep neural networks (DNNs) is criti...
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05/04/2022
Optimizing Mixture of Experts using Dynamic Recompilations
The Mixture of Experts architecture allows for outrageously large neural...
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04/26/2022
Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs
DNN models across many domains continue to grow in size, resulting in hi...
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04/19/2022
Quartz: Superoptimization of Quantum Circuits (Extended Version)
Existing quantum compilers optimize quantum circuits by applying circuit...
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11/22/2021
Quanto: Optimizing Quantum Circuits with Automatic Generation of Circuit Identities
Existing quantum compilers focus on mapping a logical quantum circuit to...
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11/01/2021
Collage: Automated Integration of Deep Learning Backends
Strong demands for efficient deployment of Deep Learning (DL) applicatio...
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10/16/2021
GradSign: Model Performance Inference with Theoretical Insights
A key challenge in neural architecture search (NAS) is quickly inferring...
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05/24/2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
A graph neural network (GNN) enables deep learning on structured graph d...
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04/12/2021
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models
Deep learning recommendation models (DLRMs) are used across many busines...
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11/02/2020
IOS: Inter-Operator Scheduler for CNN Acceleration
To accelerate CNN inference, existing deep learning frameworks focus on ...
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06/09/2019
Redundancy-Free Computation Graphs for Graph Neural Networks
Graph Neural Networks (GNNs) are based on repeated aggregations of infor...
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07/14/2018
Beyond Data and Model Parallelism for Deep Neural Networks
The computational requirements for training deep neural networks (DNNs) ...
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02/14/2018