2022/3/20
Our work Roller has been accepted to OSDI 2022.
Congratulations to Hongyu Zhu and Professor Gennady Pekhimenko.
2022/3/18
Congratulations to Yaoyao Ding for successfully defending his
MASc theses.
2022/2/19
Congratulations to Hongyu Zhu for successfully defending his PhD
thesis.
2021/12/10
Congratulations to Jiacheng Yang for successfully defending his
MASc theses.
2021/11/28
Our work on Horizontally Fused Training Array appears in the
news.
Congratulations to Shang Wang, Yifan Bai, and Professor Gennady Pekhimenko.
2021/11/ 6
Our work on horizontal fusion was accepted to appear on
CGO 2022.
Congratulations to Bojian Zheng and Professor Gennady Pekhimenko.
2021/ 9/28
We have two papers on distributed training accepted at NeurIPS 2021.
Congratulations to Professor Gennady Pekhimenko.
2021/ 9/ 2
Congratulations to James Gleeson for winning the Bell OGS Scholarship.
2021/ 8/11
Congratulations to Professor Gennady Pekhimenko for making to the
ISCA Hall of Fame!
2021/ 7/29
Congratulations to Kevin Song for receiving the
Queen Elizabeth II Graduate Scholarship in Science and Technology (QEII-GSST)
Award!
2021/ 4/20
Congratulations to Jasper Zhu for winning the Vector Scholarship in Artificial Intelligence.
2021/ 3/18
Congratulations to Qidong Su for winning the Wolfond Award.
2021/ 2/ 9
We updated the TBD website and
GitHub repository.
2021/ 1/18
We have FOUR (!!!) papers accepted at MLSys 2021. They are:
(1) Horizontally Fused Training Array by Shang Wang, Peiming Yang, Yuxuan Zheng, Xin Li, Gennady Pekhimenko,
(2) RL-Scope by James Gleeson, Gennady Pekhimenko and others,
(3) Inter-Operator Scheduler by Yaoyao Ding, Gennady Pekhimenko and others,
(4) Boveda by Gennady Pekhimenko and others. Congratulations to all of them.
2021/ 1/ 9
Our work on MLPerf Inference got
MICRO Top Picks.
Congratulations to Professor Gennady Pekhimenko.
2021/ 1/ 7
Our work on MLPerf Inference got
HiPEAC Award.
Congratulations to Professor Gennady Pekhimenko.
2020/11/18
Our work on high performance stream processing engine for waveform
data was accepted to appear on
ASPLOS 2021.
Congratulations to Anand Jayarajan and Professor Gennady Pekhimenko.
2020/ 7/21
Our work on interactive in-editor computational performance
profiling for DNN training was accepted to appear on
UIST 2020.
Congratulations to Geoffrey Yu and Professor Gennady Pekhimenko.
2020/ 7/14
Congratulations to Professor Gennady Pekhimenko for receiving the
AWS Machine Learning Research Award.
Thank you Amazon!
2020/ 7/ 9
Congratulations to Professor Gennady Pekhimenko for receiving the
Facebook Faculty Research Award (AI Systems Hardware/Software Co-Design). Thank you Facebook!
Facebook Faculty Research Award (AI Systems Hardware/Software Co-Design). Thank you Facebook!
2020/ 7/ 7
Our work on exploiting sparsity to accelerate DNN training was accepted to appear on
MICRO 2021.
Congratulations to Professor Gennady Pekhimenko.
2020/ 4/24
Our work on estimating the efficacy of optimizations for DNN
training was accepted to appear on
USENIX ATC 2020. Congratulations to Hongyu Zhu and Professor Gennady Pekhimenko.
USENIX ATC 2020. Congratulations to Hongyu Zhu and Professor Gennady Pekhimenko.
2020/ 3/ 4
Our work on compiler-based memory footprint reduction and MLPerf
inference were accepted to appear on
ISCA 2020. Congratulations to Bojian Zheng and Professor Gennady Pekhimenko.
ISCA 2020. Congratulations to Bojian Zheng and Professor Gennady Pekhimenko.
2020/ 1/13
Our work Janus: Optimizing Memory and Storage Support for
Non-Volatile Memory Systems won the MICRO Top Picks Honorable
Mention. Congratulations to Professor Gennady Pekhimenko.
2020/ 1/ 3
Our work on parallel backpropagation scan and MLPerf training were
accepted to appear on MLSys 2020.
Congratulations to Shang Wang, Yifan Bai, and Professor Gennady Pekhimenko.
2019/11/21
Our work on neural machine translation using BERT was accepted to
appear on AAAI 2020.
Congratulations to Jiacheng Yang.
Congratulations to Jiacheng Yang.
2019/ 9/23
Professor Gennady Pekhimenko started
a faculty member position at the Vector Institute.
2019/ 9/10
We published our tutorial slides on
Automatic Mixed Precision (AMP) Training.
2019/ 7/ 2
Congratulations to Hanjie Qiu for winning the
OGS award.
2019/ 4/26
Congratulations to Qiongsi Wu and Hanjie Qiu for winning the
Vector AI Scholarship.
2019/ 4/23
Our research grant in collaboration with the IBM compiler team on
pointer compression was accepted.
Thank you IBM and congratulations to Qiongsi Wu!
Thank you IBM and congratulations to Qiongsi Wu!
2019/ 4/22
Congratulations to Xiaodan (Serina) Tan for winning the
uArch Workshop at
ISCA 2019 funding.
2019/ 4/ 1
Congratulations to Qiongsi Wu and Geoffrey Yu for winning the
NSERC CGS award.
2019/ 3/21
Our NSERC CRD
grant in collaboration with IBM was accepted.
2019/ 3/14
Our work on optimizing memory and storage support for non-volatile
memory systems was accepted to appear on
ISCA 2019.
Congratulations to Professor Gennady Pekhimenko.
2019/ 3/ 2
Our TBD tools will be presented as a demo at
SysML 2019.
2019/ 1/31
Congratulations to Geoffrey Yu for winning the
Snap Research Scholarship.
2019/ 1/ 4
Our work on Priority-based Parameter Propagation (P3) for Distributed DNN Training was accepted to appear on
SysML 2019. Congratulations to Anand Jayarajan et al.
2018/12/ 1
Our Huawei grant proposal on DNN training optimization was accepted.
Thank you Huawei!
2018/11/29
Congratulations to Geoffrey Yu and Xiaodan (Serina) Tan for winning the
Vector AI Scholarship.
2018/11/ 7
Our work on efficient usage of high bandwidth hybrid memory for
stream processing was accepted to appear on
ASPLOS 2019.
Congratulations to Professor Gennady Pekhimenko.
2018/ 8/19
Our work on improving RNN was accepted to appear on
MICRO 2018 SRC
and won the third prize in the graduate class. Congratulations
to Bojian Zheng and Professor Gennady Pekhimenko.
2018/ 7/24
Our work on machine learning benchmark suite TBD
was accepted to appear on
IISWC 2018.
Congratulations to Hongyu Zhu et al.
Congratulations to Hongyu Zhu et al.
2018/ 7/10
Congratulations to Geoffrey Yu for winning the
Queen Elizabeth II Graduate Scholarships.
2018/ 5/23
Our work on machine learning benchmark suite
TBD appears on
U of T News.
2018/ 4/26
We received the
Connaught New Researcher Award. Thank you Connaught!
2018/ 4/18
One paper was accepted at USENIX ATC 2018.
Congratulations to Professor Gennady Pekhimenko.
2018/ 4/13
We have two grants from
NSERC: Discovery and Accelerator. Thank you NSERC!
2018/ 4/ 2
Our Training Benchmark for DNNs
has been released. Thanks to all who have contributed to the project!
2018/ 3/23
Our IBM grant proposal was accepted. Thank you IBM!
2018/ 3/19
Congratulations to Qiongsi Wu for winning the
UTEA award.
2018/ 3/13
Two papers were accepted at ISCA 2018.
Congratulations to Professor Gennady Pekhimenko.
2018/ 1/19
Our paper on DNN benchmark was accepted at
SysML.
Congratulations to Hongyu Zhu et al.
2017/10/ 6
Our proposal got accepted into Intel Xeon Hardware Accelerator
Research Program. Thank you Intel!
2017/ 8/23
The EcoSystem group was founded.
2017/ 8/22
Our NVIDIA GPU grant proposal was approved. Thank you
NVIDIA!
2017/ 8/ 9
We got an FPGA donation from Xilinx. Thank you
Xilinx!
2017/ 8/ 7
Our HIRP grant proposal was accepted. Thank you
Huawei!