More from the Same Authors

• 2022 Poster: DietCode: Automatic Optimization for Dynamic Tensor Programs »
  Bojian Zheng · Ziheng Jiang · Cody Hao Yu · Haichen Shen · Joshua Fromm · Yizhi Liu · Yida Wang · Luis Ceze · Tianqi Chen · Gennady Pekhimenko
• 2023 Poster: Hotline Profiler: Automatic Annotation and A Multi-Scale Timeline for Visualizing Time-Use in DNN Training »
  Daniel Snider · Fanny Chevalier · Gennady Pekhimenko
• 2022 Symposium: Chips & Compilers »
  Yida Wang · Gennady Pekhimenko
• 2022 Oral: DietCode: Automatic Optimization for Dynamic Tensor Programs »
  Bojian Zheng · Ziheng Jiang · Cody Hao Yu · Haichen Shen · Joshua Fromm · Yizhi Liu · Yida Wang · Luis Ceze · Tianqi Chen · Gennady Pekhimenko
• 2021 : Industry/Academia Panel »
  Zachary C Lipton · Udit Gupta · Lillian Pentecost · Shagun Sodhani · Abhishek Gupta · Mayoore Jaiswal · Michael Carbin · Devi Parikh · Gennady Pekhimenko
• 2021 Poster: Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models »
  Shang Wang · Peiming Yang · Yuxuan Zheng · Xin Li · Gennady Pekhimenko
• 2021 Poster: Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick »
  Isak Edo Vivancos · Sayeh Sharify · Daniel Ly-Ma · Ameer Abdelhadi · Ciaran Bannon · Milos Nikolic · Mostafa Mahmoud · Alberto Delmas Lascorz · Gennady Pekhimenko · Andreas Moshovos
• 2021 Oral: Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models »
  Shang Wang · Peiming Yang · Yuxuan Zheng · Xin Li · Gennady Pekhimenko
• 2021 Oral: Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick »
  Isak Edo Vivancos · Sayeh Sharify · Daniel Ly-Ma · Ameer Abdelhadi · Ciaran Bannon · Milos Nikolic · Mostafa Mahmoud · Alberto Delmas Lascorz · Gennady Pekhimenko · Andreas Moshovos
• 2021 Poster: RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads »
  James Gleeson · Srivatsan Krishnan · Moshe Gabel · Vijay Janapa Reddi · Eyal de Lara · Gennady Pekhimenko
• 2021 Poster: IOS: Inter-Operator Scheduler for CNN Acceleration »
  Yaoyao Ding · Ligeng Zhu · Zhihao Jia · Gennady Pekhimenko · Song Han
• 2021 Oral: IOS: Inter-Operator Scheduler for CNN Acceleration »
  Yaoyao Ding · Ligeng Zhu · Zhihao Jia · Gennady Pekhimenko · Song Han
• 2021 Oral: RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads »
  James Gleeson · Srivatsan Krishnan · Moshe Gabel · Vijay Janapa Reddi · Eyal de Lara · Gennady Pekhimenko
• 2020 Oral: MLPerf Training Benchmark »
  Peter Mattson · Christine Cheng · Gregory Diamos · Cody Coleman · Paulius Micikevicius · David Patterson · Hanlin Tang · Gu-Yeon Wei · Peter Bailis · Victor Bittorf · David Brooks · Dehao Chen · Debo Dutta · Udit Gupta · Kim Hazelwood · Andy Hock · Xinyuan Huang · Daniel Kang · David Kanter · Naveen Kumar · Jeffery Liao · Deepak Narayanan · Tayo Oguntebi · Gennady Pekhimenko · Lillian Pentecost · Vijay Janapa Reddi · Taylor Robie · Tom St John · Carole-Jean Wu · Lingjie Xu · Cliff Young · Matei Zaharia
• 2020 Poster: MLPerf Training Benchmark »
  Peter Mattson · Christine Cheng · Gregory Diamos · Cody Coleman · Paulius Micikevicius · David Patterson · Hanlin Tang · Gu-Yeon Wei · Peter Bailis · Victor Bittorf · David Brooks · Dehao Chen · Debo Dutta · Udit Gupta · Kim Hazelwood · Andy Hock · Xinyuan Huang · Daniel Kang · David Kanter · Naveen Kumar · Jeffery Liao · Deepak Narayanan · Tayo Oguntebi · Gennady Pekhimenko · Lillian Pentecost · Vijay Janapa Reddi · Taylor Robie · Tom St John · Carole-Jean Wu · Lingjie Xu · Cliff Young · Matei Zaharia
• 2020 Poster: BPPSA: Scaling Back-propagation by Parallel Scan Algorithm »
  Shang Wang · Yifan Bai · Gennady Pekhimenko
• 2020 Demonstration: Skyline: Interactive In-editor Performance Visualizations and Debugging for DNN Training »
  Geoffrey Yu · Tovi Grossman · Gennady Pekhimenko
• 2020 Oral: BPPSA: Scaling Back-propagation by Parallel Scan Algorithm »
  Shang Wang · Yifan Bai · Gennady Pekhimenko