Congratulations to Dr. Pengmiao Zhang on successfully defending his Ph.D. thesis, “Machine Learning for Memory Access Prediction and Data Prefetching.” Thank you to the defense…
Congratulations to Dr. Pengmiao Zhang!
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Led by Dr. Viktor K. Prasanna
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Congratulations to Dr. Pengmiao Zhang on successfully defending his Ph.D. thesis, “Machine Learning for Memory Access Prediction and Data Prefetching.” Thank you to the defense…
We celebrated the graduation of Bingyi, Yuan, and Hongkuan with a warm farewell party hosted by Professor Prasanna. We extend our best wishes to them…
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We are pleased to announce that Yuan Meng has successfully defended her PhD thesis, titled Accelerating Reinforcement Learning using Heterogeneous Platforms: Co-Designing Hardware, Algorithm, and System…
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Congratulations to Dr. Hongkuan Zhou! We are thrilled to announce that Ph.D. Candidate Hongkuan Zhou has successfully defended his dissertation, “Scaling Up Temporal Graph Learning:…
Our pandemic forecasting story “What’s Next in Pandemic Forecasting?” is published on the Viterbi website: https://viterbischool.usc.edu/news/2020/08/whats-next-in-pandemic-forecasting/ Professor Viktor Prasanna and senior research associate Dr. Ajitesh…
Our paper “A Framework for Task Mapping onto Heterogeneous Platforms” has been accepted at 2020 IEEE High Performance Extreme Computing Conference (HPEC ’20). This paper…
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Our paper “RAOP: Recurrent Neural Network Augmented Offset Prefetcher” has been accepted at the International Symposium on Memory Systems (MEMSYS ’20). This paper proposes an…
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Congratulations to Chi Zhang for passing the written and oral portions of the CS qualifier exam He gave an excellent talk that was very well…
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Our paper “MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction” has been accepted as a full paper at the 24th Pacific-Asia Conference on…
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Our paper “Load Demand User Profiling in Smart Grids with Distributed Solar Generation” has been accepted at the Eleventh Conference on Innovative Smart Grid Technologies…