


default search action
37th Hot Chips Symposium 2025: Stanford, CA, USA
- IEEE Hot Chips 37 Symposium, HCS 2025, Stanford, CA, USA, August 24-26, 2025. IEEE 2025, ISBN 979-8-3315-0300-0

- Mohan Kalkunte, Asad Khamisy:

ENABLING AI Infrastructure : Tomahawk Ultra - Ultra Low Latency, High Bandwidth Ethernet Switch for HPC & AI/ML applications. 1-22 - Sudeep Bhoja:

CORSAIR:An In-Memory Computing ChipletArchitecture for Inference-Time Compute Acceleration. 1-37 - Bryan Kelly:

Azure Secure Hardware Architecture : A Robust Security Foundation for Cloud Workloads. 1-23 - Sangjin Kim, Jungjun Oh, Jeonggyu So, Yuseon Choi, Sangyeob Kim, Dongseo Kim, Gwangtae Park, Hoi-Jun Yoo:

EdgeDiff: Multi-modal Few-step Diffusion Model Accelerator with Mixed-Precision and Reordered Group-Quantization for On-device Generative AI Motivation. 1 - Wooyoung Jo, Seongyon Hong, Jiwon Choi, Beomseok Kwon, Haoyang Sang, Dongseok Im, Sangyeob Kim, Sangjin Kim, Chaeyun Jeong, Yujin Moon, Hoi-Jun Yoo:

BROCA: A Low-power and Low-latency Conversational Agent RISC-V System-on-Chip for Voice-interactive Mobile Devices. 1 - Luchang Lei, Yu Duan, Cheng Peng, Yongqing Zhu, Gangfeng Du, Zhenyu Guan, Huazhong Yang, Yongpan Liu, Zhen Gu, Song Bian, Hongyang Jia:

Presto: A Unified RISC-V-Compatible SoC for Multi-Scheme FHE Acceleration over Module Lattice. 1-40 - Marc Blackstein:

RTX 5090: Designed for the Age of Neural Rendering. 1-20 - Andy Pomianowski, Laks Pappu:

AMD RDNA 4 Radeon 9000 Series GPU. 1-23 - Pat Fleming, Chihjen Chang, Derek Collier, Anjali Singhai, Stephen Doyle, Eliel Louzoun, David Lee, Vetrivel Ayyavu, Sarig Livne, Robert Hathaway, Tony Hurson, Jackson Ellis, Tamar Bar-Kanarik, Jonathan Kenny, Cristine Dumitrescu, Yaron Wolberger:

Intel® IPU E2200: Second Generation Infrastructure Processing Unit (IPU). 1-16 - Phil Winterbottom:

Photonic Interconnect for Accelerated Computing Celestial AI Photonic Fabric Module - The world's first SoC with in-die Optical IO. 1-13 - Vladimir Stojanovic:

A UCIe Optical I/O Retimer Chiplet for AI Scale-up. 1-22 - Don Soltis, Stephen Robinson:

Clearwater Forest the Next Generation Intel® Xeon® Processor with Efficiency Cores. 1-15 - Atsuyoshi Koike:

Up and Running with Rapidus : How Japan and Cutting-Edge Technologies are Transforming Semiconductor Manufacturing. 1-49 - Ohad Meitav, Jay Tsao:

Specialized IC for World-Lock Rendering in Augmented and Mixed Reality Devices. 1-18 - Norman P. Jouppi, Sridhar Lakshmanamurthy:

Ironwood: Delivering Best in Class perf, perf/TCO and perf/Watt for Reasoning Model Training and Serving. 1-26 - Noam Shazeer:

Hot ChipsKeynote. 1-45 - Mark Kuemerle:

Memory: Almost The Only Thing That Matters : A revolution in memory architecture for the data center. 1-30 - Sangyeob Kim, Jungwan Lee, Byeongju Kim, Hoi-Jun Yoo:

A 4.69mW LLM Processor with Binary/Ternary Weights for Billion-Parameter Llama Model. 1-18 - Benton H. Calhoun, David D. Wentzloff, Kuo-Ken Huang, Kyle Craig:

EveractiveSelf-Powered SoC with Energy Harvesting, Wakeup Receiver, and Energy-Aware Subsystem. 1-31 - Michael Steffen, Michael Floyd:

4th Gen AMD CDNATM Generative AI Architecture Powering AMD Instinct M350 Series GPUs and Platforms. 1-37 - Seunghyun Park, Daejin Park:

Bit-Separable Transformer Accelerator Leveraging Output Activation Sparsity for Efficient DRAM Access. 1-9 - Chang Eun Song, Weihong Xu, Keming Fan, Soumil Jain, Gopabandhu Hota, Haichao Yang, Leo Liu, Meng-Fan Chang, Carlos H. Diaz, Gert Cauwenberghs, Tajana Rosing, Mingu Kang:

Clo-HDnn: Continual On-Device Learning Accelerator with Hyperdimensional Computing via Progressive Search. 1-25 - Gilad Shainer:

Co-Packaged Silicon Photonics Switches for Gigawatt AI Factories. 1-24 - William Starke:

IBM's Power11 Processor. 1-29 - Donghyeon Han, Anantha P. Chandrakasan:

MEGA.mini: A NPU with Novel Heterogeneous AI Processing Architecture Balancing Efficiency, Performance, and Intelligence for the Era of Generative AI. 1 - Philippe Sauter, Thomas Benz, Paul Scheffler, Martin Poviser, Frank K. Gürkaynak, Luca Benini:

Basilisk: A 34mm² End-to-End Open-Source 64-bit Linux-Capable RISC-V SoC in 130nm BiCMOS : Integrated Systems Laboratory (ETH Zürich). 1-14 - Lucy Revina, Ethan Gao, Ken Ho, Daniel Lovell, Kristofer S. J. Pister, Borivoje Nikolic:

Taping Out Three Class Chips Per Semester in Intel 16 Technology. 1-53 - Idan Burstein:

ConnectX-8 SuperNIC. 1-21 - Kevin Chu:

AMD PensandoTM Pollara 400 AI NIC Architecture and Application. 1-35 - Darius Bunandar:

Passage M1000 : A 3D Photonic Interposer for AI. 1-34 - Mohamed Mehdi Jatlaoui, Jean-Marc Yannou:

High Density Si-IPD Technologies as Enabler for High-Performance and Low-Power Consumption Processor Chips. 1 - Ty Garibay, Shashank Nemawarkar:

Cuzco: A High-Performance RISC-V RVA23 Compatible CPU IP. 1-21 - Michael Matthews, Ian Winfield, Joseph Madril, Douglas De Aquino Castro, Charles Biset:

FABRIC8LABS Electrochemical Additive Manufacturing ECAM Enabled Thermal Solutions for the Al Data Center. 1-15 - Heng Liao:

UB-mesh: An New Interconnection Technology for Large AI SuperNode. 1-13 - Seokchan Song, Seryeong Kim, Wonhoon Park, Jongjun Park, Sanghyuk An, Gwangtae Park, Minseo Kim, Hoi-Jun Yoo:

IRIS: A 8.55 mJ/frame Spatial Computing SoC for Real-time Interactable-Rendering and Surface-aware-Modeling with 3D Gaussian Splatting. 1 - Seungjae Moon, Jung-Hoon Kim, Juntaek Oh, Jay Kim, Joo-Young Kim:

Adelia: A 4nm LLM Processor for Efficient Generative Al Inference. 1 - Naoya Hatta, Shuntaro Tsunoda, Kouhei Uchida, Taichi Ishitani, Toru Koizumi, Ryota Shioya, Kei Ishii:

PEZY-SC4s : The Fourth Generation MIMD Many-core Processor with High Energy Efficiency and Flexibility for HPC and AI Applications. 1-42 - Tinish Bhattacharya, Dongseok Kwon, George Higgins Hutchinson, Xiangyi Zhang, Giacomo Pedretti, Fabian Böhm, John Paul Strachan, Thomas Van Vaerenbergh, Ray Beausoleil, Ignacio Rozada, Dmitri B. Strukov:

KLIMA: Low-latency mixed-signal In-Memory Computing accelerator for solving arbitrary-order Boolean Satisfiability. 1-7

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














