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战斗力 鹅
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注册时间 2019-11-6
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hot chip是个学术会议
不是产品发布会。。
Sunday, August 16, 2020: Tutorials
8:30 AM – 1:00 PM: Tutorial 1: Machine Learning Scale Out
Fundamentals of Scaling Out DL Training
Paulius Micikevicius, NVIDIA
Scale Out Systems – DGX A100 SuperPOD
Michael Houston, NVIDIA
Scale Out Systems – Google TPU Pod
Sameer Kumar and Dehao Chen, Google
Scale Out Systems – Cerebras System
Natalia Vassilieva, Cerebras
11:00 AM – 11:30 AM: BREAK
Scale Out Training Experiences – Megatron Language Model
Mohammad Shoeybi, NVIDIA
Scale Out Training Experiences – Distributed Parameter Server for Massive Recommender System
Weijie Zhao, Baidu
Scale Out Training Experiences – GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Zhifeng Chen, Google
1:00 PM – 2:00 PM: BREAK
2:00 PM – 5:15 PM: Tutorial 2: Quantum Computing
Introduction
Misha Smelyanskiy, Facebook
Quantum Supremacy Using a Programmable Superconducting Processor
John Martinis, UCSB
Applications and Challenges with Near-term Quantum Hardware
Jarrod McClean, Google
3:15 PM – 3:45 PM: BREAK
Underneath the Hood of a Superconducting Qubit Quantum Computer
Matthias Steffen and Oliver Dial, IBM
Towards a Large-scale Quantum Computer Using Silicon Spin Qubits
James S. Clarke, Intel
If Only We Could Control Them: Challenges and Solutions in Scaling the Control Interface of a Quantum Computer
David Reilly, Microsoft
Monday, August 17, 2020: Conference Day 1
9:15 – 9:30 AM: Opening Remarks
9:30 – 11:30 AM: Server Processors
Next Generation Intel Xeon(R) Scalable Server Processor: Icelake-SP
Irma Esmer Papazian, Intel
IBM’s POWER10 Processor
William Starke and Brian W Thompto, IBM
Marvell ThunderX3™ Next Generation Arm-Based Server Processor
Rabin Sugumar, Marvell
The 5.2GHz IBM z15 Processor
Anthony Saporito, IBM
11:30 – 12:00 PM: BREAK
12:00 – 1:00 PM: Mobile Processors
AMD Next Generation 7nm RyzenTM 4000 APU
Sonu Arora, AMD
Inside Tiger Lake: Intel’s Next Generation Mobile Client CPU
Xavier Vera, Intel
1:00 – 2:00 PM: BREAK
2:00 – 3:00 PM: Keynote
Raja M. Koduri, Senior Vice President, Chief Architect, and General Manager of Architecture, Graphics, and Software, Intel
3:00 – 5:00 PM: Edge Computing and Sensing
Xuantie-910: Innovating Cloud and Edge Computing by RISC-V
Yu Pu, Alibaba
A technical overview of the Arm Cortex-M55 and Ethos-U55: Arm’s most capable processors for endpoint AI
Allan Skillman and Tomas Edso, ARM
PGMA: A Scalable Bayesian Inference Accelerator for Unsupervised Learning
Glenn G. Ko, Harvard University
4:30 – 5:00 PM: BREAK
5:00 – 6:30 PM: GPUs and Gaming Architectures
NVIDIA’s A100 GPU: Performance and Innovation for GPU Computing
Jack Choquette and Wishwesh Gandhi, NVIDIA
The Xe GPU Architecture
David Blythe, Intel
Xbox Series X System Architecture
Jeff Andrews and Mark Grossman, Microsoft
Tuesday, August 18, 2020: Conference Day 2
8:30 – 10:00 AM: FPGAs and Reconfigurable Architectures
Agilex Generation of Intel FPGAs
Ilya Ganusov and Mahesh Iyer, Intel
Xilinx Versal Premium Series
Martin Voogel, Yohan Frans and Matt Ouellette, Xilinx
Neurons vs. NAND Gates vs. Networks: Finding the Right Compute Substrate for Artificial Intelligence
Ljubisa Bajic, Tenstorrent
10:00 – 10:30 AM: BREAK
10:30 AM – 12:30 PM: Networking and Distributed Systems
Tofino2 – A 12.9Tbps Programmable Ethernet Switch
Anurag Agrawal and Changhoon Kim, Intel/Barefoot
Pensando Distributed Services Architecture
Francis Matus, Pensando
The Fungible DPU™: A New Category of Microprocessor for the Data-Centric Era
Pradeep Sindhu, Fungible
High-density Multi-tenant Bare-metal Cloud with Memory Expansion SoC and Power Management
Justin Song and Xiantao Zhang, Alibaba
12:30 – 1:30 PM: BREAK
1:30 – 2:30 PM: Keynote
Dan Belov, Distinguished Engineer, DeepMind
2:30 – 4:00 PM: ML Training
Google’s Training Chips Revealed: TPUv2 and TPUv3
Thomas Norrie and Nishant Patil, Google
The Second Generation Cerebras Wafer Scale Engine
Sean Lie, Cerebras
Manticore: A 4096-core RISC-V Chiplet Architecture for Ultra-efficient Floating-point Computing
Florian Zaruba, ETH Zurich
4:00 – 4:30 PM: BREAK
4:30 – 6:30 PM: ML Inference
Baidu Kunlun – An AI Processor for Diversified Workloads
Jian Ouyang, Baidu
STPU: A High Performance AI Chip for Pipelined Vision Processing
Michael Xu and Wenqiang Wang, SenseTime
Silicon Photonics for Artificial Intelligence Acceleration
Carl Ramey, Lightmatter
Hanguang 800 NPU – The Ultimate AI Inference Solution for Data Centers
Yang Jiao, Alibaba |
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发表于 2020-8-9 11:25
就无限那个画面，讲不讲意义不大吧
这么猛得配置343搞什么啊
