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09/03/2023
LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection
The increasing volume of log data produced by software-intensive systems...
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03/21/2023
LogQA: Question Answering in Unstructured Logs
Modern systems produce a large volume of logs to record run-time status ...
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09/06/2022
Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU
Larger deep learning models usually lead to higher model quality with an...
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08/30/2022
EasyScale: Accuracy-consistent Elastic Training for Deep Learning
Distributed synchronized GPU training is commonly used for deep learning...
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01/01/2022
FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation Subgraph Similarity
Deploying various deep learning (DL) models efficiently has boosted the ...
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03/24/2021
Accelerating Sparse Approximate Matrix Multiplication on GPUs
Although the matrix multiplication plays a vital role in computational l...
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02/06/2020
The Deep Learning Compiler: A Comprehensive Survey
The difficulty of deploying various deep learning (DL) models on diverse...
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12/31/2019
Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models
The huge computation demand of deep learning models and limited computat...
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10/24/2019
Intelligent-Unrolling: Exploiting Regular Patterns in Irregular Applications
Modern optimizing compilers are able to exploit memory access or computa...
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07/26/2019
Massively Scaling Seismic Processing on Sunway TaihuLight Supercomputer
Common Midpoint (CMP) and Common Reflection Surface (CRS) are widely use...
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04/16/2019
swTVM: Exploring the Automated Compilation for Deep Learning on Sunway Architecture
The flourish of deep learning frameworks and hardware platforms has been...
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02/14/2019
Redundant Loads: A Software Inefficiency Indicator
Modern software packages have become increasingly complex with millions ...
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04/26/2018
Generative Model for Heterogeneous Inference
Generative models (GMs) such as Generative Adversary Network (GAN) and V...
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01/10/2018