Day 1: Monday, March 1
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08:45 — 09:00 EST 05:45 PST 14:45 CET 22:45 KST |
Opening | |
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09:00 — 10:00 EST 06:00 PST 15:00 CET 23:00 KST |
Keynote 1 (PPoPP) Atomicity without Trust Maurice Herlihy (Brown University) |
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10:00 — 11:00 EST 07:00 PST 16:00 CET Tue 00:00 KST |
Session 1A: Security Architectures Chair: Jakub Szefer (Yale University) Common Counters: Compressed Encryption Counters for Secure GPU Memory Seonjin Na, Sunho Lee, Yeonjae Kim, Jongse Park, Jaehyuk Huh (KAIST) Streamline Ring ORAM Accesses through Spatial and Temporal Optimization Dingyuan Cao (Tsinghua University); Mingzhe Zhang, Hang Lu, Xiaochun Ye, Dongrui Fan (Institute of Computing Technology, Chinese Academy of Sciences); Yuezhi Che, Rujia Wang (Illinois Institute of Technology) Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private Inference Brandon Reagen (NYU); Woo-Seok Choi (Seoul National University); Yeongil Ko (Harvard); Vincent T. Lee, Hsien-Hsin S. Lee (Facebook); Gu-Yeon Wei, David Brooks (Harvard) New Models for Understanding and Reasoning about Speculative Execution Attacks Zecheng He, Guangyuan Hu, Ruby Lee (Princeton University) |
Session 1B: Accelerators for Machine Learning 1 Chair: Minsoo Rhu (KAIST) A Computational Stack for Cross-Domain Acceleration Sean Kinzer, Joon Kyung Kim, Soroush Ghodrati, Brahmendra Yatham (University of California, San Diego); Alric Althoff (Tortuga Logic); Divya Mahajan (Microsoft); Sorin Lerner, Hadi Esmaeilzadeh (University of California, San Diego) Heterogeneous Dataflow Accelerators for Multi-DNN Workloads Hyoukjun Kwon (Georgia Tech / Facebook); Liangzhen Lai (Facebook); Michael Pellauer (Nvidia); Tushar Krishna (Georgia Tech); Yu-Hsin Chen, Vikas Chandra (Facebook) SPAGHETTI: Streaming Accelerators for Highly Sparse GEMM on FPGAs Reza Hojabr, Ali Sedaghati (Simon Fraser University); Amirali Sharifian (Untether AI); Ahmad Khonsari (University of Tehran); Arrvindh Shriraman (Simon Fraser University) SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning Hanrui Wang, Zhekai Zhang, Song Han (Massachusetts Institute of Technology) |
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11:00 — 11:10 EST 08:00 PST 17:00 CET Tue 01:00 KST |
Break (10 minutes) | |
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11:10 — 12:10 EST 08:10 PST 17:10 CET Tue 01:10 KST |
Session 2A: Storage Systems Chair: Hung-Wei Tseng (University of California, Riverside) BBB: Simplifying Persistent Programming using Battery-Backed Buffers Mohammad Alshboul (NC State University); Prakash Ramrakhyani, William Wang (Arm Research); James Tuck (North Carolina State University); Yan Solihin (University of Central Florida) TSOPER: Efficient Coherence-Based Strict Persistency Per Ekemark, Yuan Yao (Uppsala University); Alberto Ros (University of Murcia); Konstantinos Sagonas (Uppsala University / National Technical University of Athens); Stefanos Kaxiras (Uppsala University) Stealth-Persist: Architectural Support for Persistent Applications in Hybrid Memory Systems Mazen Alwadi, Vamsee Reddy Kommareddy (University of Central Florida); Clayton Hughes, Simon Hammond (Sandia National Laboratories); Amro Awad (North Carolina State University) |
Session 2B: Quantum Computing Chair: Yipeng Huang (Rutgers University) TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture Xin-Chuan Wu (University of Chicago); Dripto M. Debroy (Duke University); Yongshan Ding, Jonathan Baker (University of Chicago); Yuri Alexeev (Argonne National Laboratory); Kenneth R. Brown (Duke University); Fred Chong (University of Chicago) QuCloud: A New Qubit Mapping Mechanism for Multi-programming Quantum Computing in Cloud Environment Lei Liu, Xinglei Dou (ICT, Chinese Academy of Sciences) Systematic Approaches for Precise and Approximate Quantum State Runtime Assertion Ji Liu, Huiyang Zhou (North Carolina State University) Faster Schrödinger-style simulation of quantum circuits Aneeqa Fatima, Igor Markov (University of Michigan) |
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12:10 — 12:30 EST 09:10 PST 18:10 CET Tue 02:10 KST |
Break (20 minutes) | |
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12:30 — 13:30 EST 09:30 PST 18:30 CET Tue 02:30 KST |
Session 3A: Systems for Machine Learning 1 Chair: Rujia Wang (Illinois Institute of Technology) Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework Sung-En Chang, Yanyu Li, Mengshu Sun (Northeastern University); Runbin Shi, Hayden K.-H. So (The University of Hong Kong, Northeastern University); Yanzhi Wang (Northeastern University); Xuehai Qian (University of Southern California); Xue Lin (Northeastern University) Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures Mohsen Imani (University of California Irvine); Samuel Bosch, Sanjay Anantha Rao, Sahand Salamat, Venkatesh Kumar (University of California San Diego); Yeseong Kim (Daegu Institue of Science and Technology); Tajana Rosing (University of California San Diego) Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training Youngeun Kwon, Yunjae Lee, Minsoo Rhu (KAIST) GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent Heesu Kim, Hanmin Park, Taehyun Kim (Seoul National University); Kwanheum cho (Yonsei University); Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi (Seoul National University); Jinho Lee (Yonsei University) |
Session 3B: Cache Design Chair: Alaa Alameldeen (Simon Fraser University) SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures Christina Giannoula (National Technical University of Athens / ETH Zürich); Nandita Vijaykumar (University of Toronto / ETH Zürich); Nikela Papadopoulou, Vasileios Karakostas (National Technical University of Athens); Ivan Fernandez (University of Malaga / ETH Zürich); Juan Gómez-Luna, Lois Orosa (ETH Zürich); Nectarios Koziris, Georgios Goumas (National Technical University of Athens); Onur Mutlu (ETH Zürich) Zero Directory Eviction Victim: Unbounded Coherence Directory and Core Cache Isolation Mainak Chaudhuri (Indian Institute of Technology Kanpur) Designing a Cost-Effective Cache ReplacementPolicy using Machine Learning Subhash Sethumurugan (University of Minnesota, Twin Cities); Jieming Yin (Lehigh University); John Sartori (University of Minnesota, Twin Cities) WiDir: A Wireless-Enabled Directory Cache Coherence Protocol Antonio Franques, Apostolos Kokolis (University of Illinois at Urbana-Champaign); Sergi Abadal (Universitat Politecnica de Catalunya); Vimuth Fernando, Sasa Misailovic, Josep Torrellas (University of Illinois at Urbana-Champaign) |
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13:30 — 14:30 EST 10:30 PST 19:30 CET Tue 03:30 KST |
Business Meeting | |
Day 2: Tuesday, March 2
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09:00 — 10:00 EST 06:00 PST 15:00 CET 23:00 KST |
Keynote 2 (CGO) Data Layout and Data Representation Optimizations to Reduce Data Movement Mary Hall (University of Utah) |
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10:00 — 11:00 EST 07:00 PST 16:00 CET Wed 00:00 KST |
Session 4A: Security Attacks Chair: Mengjia Yan (Massachusetts Institute of Technology) Heat Behind the Meter: A Hidden Threat of Thermal Attacks in Edge Colocation Data Centers Zhihui Shao (UC Riverside); Mohammad A. Islam (UT Arlington); Shaolei Ren (UC Riverside) Trident: A Hybrid Correlation-Collision GPU Cache Timing Attack for AES Key Recovery Jaeguk Ahn, Cheolgyu Jin, Jiho Kim, Minsoo Rhu (KAIST); Yunsi Fei, David Kaeli (Northeastern University); John Kim (KAIST) BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows Abdullah Giray Yaglikci, Minesh Patel, Jeremie Kim, Roknoddin AziziBarzoki, Jisung Park, Hasan Hassan, Ataberk Olgun, Lois Orosa, Konstantinos Kanellopoulos, Taha Shahroodi (ETH Zürich); Saugata Ghose (University of Illinois at Urbana-Champaign / Carnegie Mellon University); Onur Mutlu (ETH Zürich) A Write-Friendly and Fast-Recovery Scheme for Security Metadata in Non-Volatile Memories Jianming Huang, Yu Hua (Huazhong University of Science and Technology) |
Session 4B: Hardware Accelerators Beyond Machine Learning Chair: Divya Mahajan (Microsoft) DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing Yu Zhang, XIAOFEI LIAO, Hai Jin (Huazhong University of Science and Technology); Ligang He (University of Warwick); Bingsheng He (National University of Singapore); Haikun Liu, Lin Gu (Huazhong University of Science and Technology) QEI: Query Acceleration Can be Generic and Efficient in the Cloud Yifan Yuan (UIUC); Yipeng Wang, Ren Wang (Intel Labs); Rangeen Basu Roy Chowdhury (Intel Corporation); Charlie Tai (Intel Labs); Nam Sung Kim (UIUC) EXMA: A Genomics Accelerator for Exact-Matching Lei Jiang, Farzaneh Zokaee (Indiana University Bloomington) Ultra-Elastic CGRAs for Irregular Loop Specialization Christopher Torng (Stanford University); Peitian Pan, Yanghui Ou, Cheng Tan, Christopher Batten (Cornell University) |
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11:00 — 11:10 EST 08:00 PST 17:00 CET Wed 01:00 KST |
Break (10 minutes) | |
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11:10 — 12:10 EST 08:10 PST 17:10 CET Wed 01:10 KST |
Session 5A: Memory and Storage Architectures Chair: Yu Hua (Huazhong University of Science and Technology) GSSA: A Resource Allocation Scheme Customized for 3D NAND SSDs Chun-Yi Liu, Yunju Lee, Wonil Choi (The Pennsylvania State University); Myoungsoo Jung (KAIST); Mahmut Taylan Kandemir, Chita Das (The Pennsylvania State University) Memristive Data Ranking Ananth Krishna Prasad (University of Utah); Morteza Rezaalipour (K. N. Toosi University of Technology); Masoud Dehyadegari (KNTU University of Technology); Mahdi Nazm Bojnordi (University of Utah) DeACT: Architecture-Aware Virtual Memory Support for Fabric Attached Memory Systems Vamsee Reddy Kommareddy (University of Central Florida); Clayton Hughes, Simon Hammond (Sandia National Laboratories); Amro Awad (North Carolina State University) |
Session 5B: High Throughput Architectures Chair: Tony Gutierrez (AMD Research) Analyzing and Leveraging Decoupled L1 Caches in GPUs Mohamed Assem Ibrahim (William & Mary); Onur Kayiran, Yasuko Eckert, Gabriel Loh (AMD Research); Adwait Jog (William & Mary) Deadline-Aware Offloading for High-Throughput Accelerators Tsung Tai Yeh (Purdue University); Matthew D. Sinclair (University of Wisconsin, AMD Research); Bradford M. Beckmann (Advanced Micro Devices, Inc); Timothy G. Rogers (Purdue University) LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference Yujeong Choi, Yunseong Kim, Minsoo Rhu (KAIST) Dead Page and Dead Block Predictors: Cleaning TLBs and Caches Together Chandrashis Mazumdar, Prachatos Mitra, Arkaprava Basu (Indian Institute of Science-Bangalore) |
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12:10 — 12:30 EST 09:10 PST 18:10 CET Wed 02:10 KST |
Break (20 minutes) | |
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12:30 — 13:30 EST 09:30 PST 18:30 CET Wed 02:30 KST |
Session 6A: Power Efficiency and Resiliency Chair: Mieszko Lis (University of British Columbia) ParaDox: Eliminating Voltage Margins via Heterogeneous Fault Tolerance Sam Ainsworth (University of Edinburgh); Lionel Zoubritzky (École Normale Supérieure); Alan Mycroft, Timothy Jones (University of Cambridge) CARE: Coordinated Augmentation for Elastic Resilience on DRAM Errors in Data Centers Jian Chen, Xiaowei Jiang, Ying Zhang, Liyin Liu, Huifeng Xu, Qiang Liu (Alibaba Groups) Automatic Microprocessor Performance Bug Detection Erick Carvajal Barboza, Sara Jacob (Texas A&M University); Mahesh Ketkar, Michael Kishinevsky (Intel Corporation); Paul Gratz, Jiang Hu (Texas A&M University) CAPE: A Content-Addressable Processing Engine Helena Caminal, Kailin Yang (Cornell University); Srivatsa Srinivasa, Akshay Krishna Ramanathan (Pennsylvania State University); Khalid Al-Hawaj, Tianshu Wu (Cornell University); Vijaykrishnan Narayanan (The Pennsylvania State University); Christopher Batten, José F. Martínez (Cornell University) |
Session 6B: Systems for Machine Learning 2 Chair: Tony Nowatzki (University of California, Los Angeles) SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator Xinfeng Xie (University of California, Santa Barbara); Zheng Liang (Peking University); Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu (University of California, Santa Barbara); Yuan Xie (University of California Santa Barbara) Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling Young H. Oh (Sungkyunkwan University); Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, Jae W. Lee (Seoul National University) Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning Jie Ren, Jiaolin Luo, Kai Wu (University of California, Merced); Minjia Zhang (Microsoft); Hyeran Jeon, Dong Li (University of California, Merced) CSCNN: Algorithm-hardware Co-design for CNN Accelerators using Centrosymmetric Filters Jiajun Li, Ahmed Louri (George Washington University); Avinash Karanth, Razvan C. Bunescu (Ohio University) |
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13:30 — 14:30 EST 10:30 PST 19:30 CET Wed 03:30 KST |
Session 7: Best Paper Nominees Chair: Murali Annavaram (University of Southern California) Improving GPU Multi-tenancy with Page Walk Stealing Pratheek B, Neha Jawalkar, Arkaprava Basu (Indian Institute of Science-Bangalore) Stream Floating: Enabling Proactive and Decentralized Cache Optimizations Zhengrong Wang, Jian Weng (UCLA); Jason Lowe-Power (UC Davis); Jayesh Gaur (Intel); Tony Nowatzki (UCLA) Prodigy: Improving the Memory Latency of Data-Indirect Irregular Workloads Using Hardware-Software Co-Design Nishil Talati (University of Michigan); Kyle May (University of Michigan and University of Wisconsin, Madison); Armand Behroozi, Yichen Yang (University of Michigan); Kuba Kaszyk, Christos Vasiladiotis (University of Edinburgh); Tarunesh Verma (University of Michigan); Lu Li (University of Edinburgh); Brandon Nguyen (University of Michigan); Jiawen Sun, John Magnus Morton (University of Edinburgh); Agreen Ahmadi, Todd Austin (University of Michigan); Michael O’Boyle (University of Edinburgh); Scott Mahlke (University of Michigan/Nvidia Research); Trevor Mudge, Ronald Dreslinski (University of Michigan) P-OPT: Practical Optimal Cache Replacement for Graph Analytics Vignesh Balaji (Carnegie Mellon University); Neal Crago, Aamer Jaleel (Nvidia Research); Brandon Lucia (Carnegie Mellon University) |
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14:30 — 15:00 EST 11:30 PST 20:30 CET Wed 04:30 KST |
Awards Ceremony | |
Day 3: Wednesday, March 3
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09:00 — 10:00 EST 06:00 PST 15:00 CET 23:00 KST |
Keynote 3 (HPCA) Chair: Jung Ho Ahn (Seoul National University) A Journey to a Commercial-Grade Processing-In-Memory (PIM) Chip Development Nam Sung Kim (University of Illinois at Urbana-Champaign / Samsung Electronics) |
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10:00 — 11:00 EST 07:00 PST 16:00 CET Thu 00:00 KST |
Session 8A: Network on Chip Chair: Lizhong Chen (Oregon State University) Pitstop: Enabling a Virtual Network Free Network-on-Chip Hossein Farrokhbakht, Henry Kao, Kamran Hasan (University of Toronto); Paul Gratz (Texas A&M University); Tushar Krishna (Georgia Tech); Joshua San Miguel (University of Wisconsin-Madison); Natalie Enright Jerger (University of Toronto) BoomGate: Deadlock Avoidance in Non-Minimal Routing for High-Radix Networks Gyuyoung Kwauk, Seungkwan Kang, Hans Kasan, Hyojun Son, John Kim (KAIST) CHOPIN: Scalable Graphics Rendering in Multi-GPU Systems via Parallel Image Composition Xiaowei Ren, Mieszko Lis (University of British Columbia) Adapt-NoC: A Flexible Network-on-Chip Design for Heterogeneous Manycore Architectures Hao Zheng, Ke Wang, Ahmed Louri (George Washington University) |
Session 8B: Emerging Technologies and Applications Chair: Youngsok Kim (Yonsei University) Hardware-Based Address-Centric Acceleration of Key-Value Store Chencheng Ye (Huazhong University of Science and Technology); Yuanchao Xu, Xipeng Shen (North Carolina State University); XIAOFEI LIAO, Hai Jin (Huazhong University of Science and Technology); Yan Solihin (University of Central Florida) BRIM: Bistable Resistively-Coupled Ising Machine Richard Afoakwa, Yiqiao Zhang, Uday Kumar Reddy Vengalam, Zeljko Ignjatovic, Michael Huang (University of Rochester) An Analog Preconditioner for Solving Linear Systems Ben Feinberg (Sandia National Labs); Ryan Wong (University of Rochester); T. Patrick Xiao, Christopher H. Bennett (Sandia National Labs); Jacob N. Rohan (The University of Texas at Austin); Erik G. Boman, Matthew J. Marinella, Sapan Agarwal (Sandia National Labs); Engin Ipek (Qualcomm) GCNAX: A Flexible and Energy-efficient Accelerator for Graph Convolutional Neural Networks Jiajun Li, Ahmed Louri (George Washington University); Avinash Karanth, Razvan C. Bunescu (Ohio University) |
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11:00 — 11:10 EST 08:00 PST 17:00 CET Thu 01:00 KST |
Break (10 minutes) | |
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11:10 — 12:10 EST 08:10 PST 17:10 CET Thu 01:10 KST |
Session 9A: Industry Track 1 Chair: Jessica Young (Yahoo) Ascend: a Scalable and Unified Architecture for Ubiquitous Deep Neural Network Computing Heng Liao, Jiajin Tu, Jing Xia, Hu Liu, Xiping Zhou, Honghui Yuan, Yuxing Hu (Huawei) Understanding Training Efficiency of Deep Learning Recommendation Models at Scale Bilge Acun (Facebook AI Research); Matthew Murphy, Xiaodong Wang, Jade Nie (Facebook); Carole-Jean Wu (Facebook AI Research); Kim Hazelwood (Facebook) LIBRA: Clearing the Cloud Through Dynamic Memory Bandwidth Management Ying Zhang, Jian Chen, Xiaowei Jiang, Qiang Liu (Alibaba Group); Ian M Steiner, Andrew J Herdrich, Kevin Shu, Ripan Das, Long Cui, Litrin Jiang (Intel Corporation) Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines Yiming Gan (University of Rochester); Bo Yu (PerceptIn); Boyuan Tian (University of Rochester); Leimeng Xu, Wei Hu, Shaoshan Liu (PerceptIn); Qiang Liu (Tianjin University); Yanjun Zhang (Beijing Institute of Technology); Jie Tang (South China University of Technology); Yuhao Zhu (University of Rochester) |
Session 9B: Industry Track 2 Chair: Samira Mirbagher Ajorpaz (University of California, San Diego) NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Tianqi Tang (University of California, Santa Barbara); Sheng Li, Lifeng Nai, Norman P. Jouppi (Google); Yuan Xie (University of California, Santa Barbara) Chasing Carbon: The Elusive Environmental Footprint of Computing Udit Gupta (Harvard University / Facebook); Young Geun Kim (Arizona State University); Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee (Facebook); Gu-Yeon Wei (Harvard University); David Brooks (Harvard University / Facebook); Carole-Jean Wu (Facebook / Arizona State University) Need for Speed: Experiences Building a Trustworthy System-Level GPU Simulator Oreste Villa, Daniel Lustig, Zi Yan, Evgeny Bolotin, Yaosheng Fu, Niladrish Chatterjee, Nan Jiang, David Nellans (NVIDIA) Operating Liquid-Cooled Large-Scale Systems: Long-Term Monitoring, Reliability Analysis, and Efficiency Measures Rohan Basu Roy, Tirthak Patel, Devesh Tiwari (Northeastern University); Raj Kettimuthu, Paul Rich, Adam Scovel, Bill Allcock (Argonne National Laboratory) |
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12:10 — 12:30 EST 09:10 PST 18:10 CET Thu 02:10 KST |
Break (20 minutes) | |
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12:30 — 13:15 EST 09:30 PST 18:30 CET Thu 02:30 KST |
Session 10A: Best of CAL Chair: Daniel Sorin (Duke University) Post Silicon Microarchitecture Chanchal Kumar, Aayush Chaudhary, Shubham Bhawalkar, Utkarsh Mathur, Saransh Jain, Adith Vastrad, Eric Rotenberg (NC State University) The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj (Harvard University); Paul Whatmough (Harvard University and ARM Research); Aleksandra Faust (Google); Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi (Harvard University) Rebasing Instruction Prefetching: An Industry Perspective Yasuo Ishii, Jaekyu Lee, Krishnendra Nathella, Dam Sunwoo (Arm) |
Session 10B: Accelerators for Machine Learning 2 Chair: Swamit Tannu (University of Wisconsin-Madison) FuseKNA: Fused Kernel Convolution based Accelerator for Deep Neural Networks Jianxun Yang, Zhao Zhang, Zhuangzhi Liu, Jing Zhou, Leibo Liu, Shaojun Wei, Shouyi Yin (Tsinghua University) FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction Bahar Asgari, Ramyad Hadidi, Jiashen Cao, Da Eun Shim, Sung-Kyu Lim, Hyesoon Kim (Georgia Institute of Technology) VIA: A Smart Scratchpad for Vector Units With Application to Sparse Matrix Computations Julian Pavon Rivera, Ivan Vargas Valdivieso, Adrián Barredo, Joan Marimon, Miquel Moreto (Barcelona Supercomputing Center); Francesc Moll (Universidad Politecnica de Catalunya); Osman Unsal, Mateo Valero, Adrian Cristal (Barcelona Supercomputing Center) |
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13:15 — 13:30 EST 10:15 PST 19:15 CET Thu 03:15 KST |
Break (15 minutes) | |
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13:30 — 15:00 EST 10:30 PST 19:30 CET Thu 03:30 KST |
Joint Session Panel Valuing Diversity, Equity, and Inclusion in Our Computing Community John L. Hennessy (Alphabet / Stanford University) David Patterson (Google / University of California, Berkeley) Margaret Martonosi (NSF CISE / Princeton University) Bill Dally (NVIDIA / Stanford University) Natalie Enright Jerger (University of Toronto / ACM D&I Council) Kim Hazelwood (Facebook AI Research) Timothy M. Pinkston (University of Southern California) There is a movement occurring broadly across many scientific and engineering fields, including widely within our computing community, toward making tangible progress through intentional actions and interventions for advancing and valuing diversity, equity, and inclusion. There is also a movement toward dismantling structural and/or systemic factors—especially but not limited to racial and gender biases—that may be standing in the way of making much needed progress in advancing and valuing diversity, equity, and inclusion fully. Similar to those in other technical fields, we as a computing community are faced with the persistent key question: What more can and should be done? At this panel (see full description here), which is broadly accessible to the larger computing community, this and other important questions will be discussed by a stellar set of world-renowned computing researchers who value diversity, equity, and inclusion. From this open and lively discussion, our hope is attendees will be better positioned to make measurable progress in bringing about continual, significant, and sustained change that shall enable gainful strides in further valuing diversity, equity and inclusion within our computing community. |
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