Hotchips 2024
Summary
- [[ HotChips2024_GC_remarks.pdf ]]
- The Journey to AI Pervasiveness, Victor Peng, AMD
- [[ HC2024.AMD.VPeng.pdf ]]
Topics
AI Assisted Hardware Design
-
[[ 1-HC2024.ucsd.BryanChin.v02.pdf ]]
- Bryan Chin, UCSD
- Introduction to AI for Chip Design, Mark Ren, Nvidia
- [[ 2-HC2024.nvidia.MarkRen.Intro.v04.pdf ]]
- AI- Assisted Chip Design Tutorial, Stelios Diamantidis, Synopsys
- [[ 3-HC24.synopsys.SteliosDiamantidis.v03.pdf ]]
- EDA AI-Agent, Hans Bouwmeester, PrimisAI
- [[ 4-HC24.PrimisAI.Hans_Bouwmeester.v4.pdf ]]
- Domain-adaptive LLMs for Chip Design, Hanxian Huang, UCSD
- [[ 5-HC24.ucsd.HanxianHuang.v02.pdf ]]
- LLM Agents for Chip Design, Mark Ren, Nvidia
- [[ 6-HC2024.nvidia.MarkRen.agent.v04.pdf ]]
- Picasso: Diffusion Accelerator, Sungyeob Yoo, KAIST
- [[ 3_HC2024.Poster.KAIST.SungyeobYoo.v02 merged.pdf ]]
- IBM Telum2 processor and IBM Spyre Accelerator chip for AI, Chris Berry, IBM
- [[ 04_HC2024.IBM.CBerry.final.pdf ]]
- SK hynix AI-Specific Computing Memory Solution, Guhyun Kim, SK Hynix
- [[ 11_HC2024.SKhynix.GuhyunKim.rev920240822.pdf ]]
- Intel Xeon 6 SoC, Praveen Mosur, Intel
- [[ 14_HC2024.Intel.Xeon_6_SoC.Praveen.Mosur.pdf ]]
- MN-Core 2: MN-Core Arch for AI and HPC application, Jun Makino, Preferred Networks
- [[ 15_HC2024.Preferred.Makino.final.pdf ]]
- Tesla Transport Protocol over Ethernet (TTPoE), Eric Quinnel, Tesla
- [[ 17_HC2024_Tesla_TTPoE_v5.pdf ]]
- AMD Versal AI Edge Gen2 for vision and automotive, Tomai Knopp, AMD
- [[ 21_HC2024.AMD.KnoppChu.final.pdf ]]
- NeuGPU: Neural GPU for mobile AR/VR devices, Junha Ryu, KAIST
- [[ 22_HC2024.Poster.KAIST.Ryu.v3.pdf ]]
- AMD MI300X Generative AI Accelerator and Platform Arch, Alan Smith, AMD
- [[ 23_HC2024.AMD.MI300X.ASmith(MI300X).v1.Final.20240817.pdf ]]
- Zen 5 core, Brad Cohen, AMD
- [[ 24_HC2024.AMD.Cohen.Subramony.final.pdf ]]
- Qualcomm ORYON CPU, Gerard Williams, Qualcomm
- [[ 25_HC2024.Qualcomm.GWilliams.pdf ]]
- Space-Mate: Real-time SLAM Processor, Gwangtae Park, KAIST
- [[ 28_HC2024.Poster.KAIST.Park.v2.pdf ]]
- 香山:高性能 RISC-V 处理器, 王凯帆, 中科院计算所
- [[ 29_HC2024.ChineseAcademy.XiangShan.Kaifan.final.pdf ]]
- Low power LLM Processor for On-device AI, Sanyeob Kim, KAIST
- [[ 35_HC2024.Poster.KAIST.SangyeobKim.v01.pdf ]]
- SN40L RDU: Breaking Barrier of Trillion+ Parameter Scale Gen AI Computing, Raghu Prabhakar, SambaNova Systems
- [[ 48_HC2024.Sambanova.Prabhakar.final-withoutvideo.pdf ]]
- Luna Lake Architecture Session, Arik Gihon, Intel
- [[ 56_HC2024.Intel.AGihon.pdf ]]
- Intel Gaudi 3 AI Accelerator, Roman Kaplan, Intel
- [[ 60_HC2024.Intel.RomanKaplan.Gaudi3-0826.pdf ]]
- An AI Compute ASIC with Optical Attach to Enable Next Gen Scale-Up Arch, Manish Mehta, Broadcom
- [[ 61_HC2024.Broadcom.ManishMehta.v2-NO-VIDEO.pdf ]]
- 4 Tb/s Optical Compute Interconnect Chiplet for XPU-to-XPU Connectivity, Saeed Fathololoumi, Intel
- [[ 62_HC2024.Intel.Fathololoumi.Final.pdf ]]
AI Chip Architecture
- Sustainable Computing for AI & Cloud, Matthew Erler, Ampere
- [[ 70_HC2024.AmpereComputing.Erler.final(for website).pdf ]]
- Wafer-Scale AI: GPU Impossible Performance, Sean Lie, Cerebras
- [72_HC2024.Cerebras.Sean.v03.final.pdf]]
- Inside Maia 100, Sherry Xu, Microsoft
- [[ 81_HC2024.Microsoft.Xu.Ramakrishnan.final.v2.pdf ]]
- Next Gen MTIA - Inference Accelerator, Mahesh Maddury, Meta
- [[ 82_HC2024.Meta.MadduryKansal.final.pdf ]]
- RNGD - Tensor Contraction Processor for AI Computing, June Paik, Furiosa AI
- [[ 83_HC2024.Furiosa.JunePaik.Final.pdf ]]
- Blackhole The Standalone AI Computer and its Programming Model, Jasmina Vasiljevic, Tenstorrent
- [[ 88_HC2024.Tenstorrent.Jasmina.Davor.v7.pdf ]]
Thermal
- Predictable Scaling and Infrastructure, Trevor Cai, OpenAI
- [[ HotChips - 2024-08-26.pdf ]]
- AirJet: Solid-state active cooling helps maintain Moore’s Law, Frore Systems
- [[ HC2024.T2.Frore.Sathyamurthy.final.pdf ]]
- Next-Generation Cooling for NVIDIA Accelerated Computing, Ali Heydari, Nvidia
- [[ HC2024.T2.Nvidia.Heydari.final.v1.pdf ]]
- Datacenters: Explosive Growth meets Thermal Consequences, Edwards, Phononic
- [[ HC2024.T2.Phononic.Edwards.final.v1.pdf ]]
- On-device AI and its thermal implications, Nader Nikfar, Qualcomm
- [[ HC2024.T2.Qualcomm.NaderNikfar.final-0824.pdf ]]
- Thermal Techniques for Data Center Computer Density, Tom Garvens, Supermicro
- [[ HC2024.T2.Supermicro.Garvens.final.pdf ]]
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