Table of Contents

• A Trusted Execution Environment RISC-V System on ChipBinh Kieu-Do-Nguyen, Khai-Duy Nguyen, Tuan-Kiet Dang, Cong-Kha Pham, Trong-Thuc Hoang. 1 [doi]
• PACE: A Scalable and Energy Efficient CGRA in a RISC-V SoC for Edge Computing ApplicationsVishnu P. Nambiar, Yi Sheng Chong, Thilini Kaushalya Bandara, Dhananjaya Wijerathne, Zhaoying Li, Rohan Juneja, Li-Shiuan Peh, Tulika Mitra, Anh-Tuan Do. 1 [doi]
• Built for the Edge: The Intel® Xeon® 6 SoCPraveen Mosur. 1-28 [doi]
• Predictable Scaling and InfrastructureTrevor Cai. 1-27 [doi]
• CogniVision: A mW Power envelope SoC for Always-on Smart Vision in 40nmAnimesh Gupta, Japesh Vohra, Massimo Alioto. 1 [doi]
• Sustainable Computing for AI & Cloud Native WorkloadsMatthew Erler. 1-24 [doi]
• Next Gen MTIA -Recommendation Inference AcceleratorMahesh Maddury, Pankaj Kansal, Olívia Wu. 1-27 [doi]
• 4 Tb/s Optical Compute Interconnect Chiplet for XPU-to-XPU ConnectivitySaeed Fathololoumi. 1-18 [doi]
• A 1.19GHz 9.52Gsamples/sec Radix-8 FFT Hardware Accelerator in 28nmLarry Tang 0003, Siyuan Chen, Keshav Harisrikanth, Guanglin Xu, Franz Franchetti, Ken Mai. 1 [doi]
• MN-Core 2: Second-Generation Processor of MN-Core Architecture for AI and General-Purpose HPC ApplicationJun Makino. 1-22 [doi]
• Lunar Lake Architecture SessionArik Gihon. 1-49 [doi]
• RISC-V-Based System-on-Chips for IoT ApplicationsKhai-Duy Nguyen, Tuan-Kiet Dang, Binh Kieu-Do-Nguyen, Cong-Kha Pham, Trong-Thuc Hoang. 1 [doi]
• A Smart Cache for a SmartNIC! Scaling End-Host Networking to 400Gbps and BeyondAnnus Zulfiqar, Ali Imran 0005, Venkat Kunaparaju, Ben Pfaff, Gianni Antichi, Muhammad Shahbaz 0001. 1 [doi]
• ™ AI Edge Series Gen 2 for Vision and AutomotiveTomai Knopp, Jeffrey Chu, Sagheer Ahmad. 1-28 [doi]
• A 40-nm 13.88-TOPS/W FC-DNN Engine for 16-bit Intelligent Audio Processing Featuring Weight-Sharing and Approximate ComputingTay-Jyi Lin, Ze Li, Yun-Cheng Chen, Chien-Tung Liu, Tien-Fu Chen, Jinn-Shyan Wang. 1 [doi]
• Wafer-Scale AI: GPU Impossible PerformanceSean Lie. 1-71 [doi]
• LSPU: A 20.7 ms Low-Latency Point Neural Network-Based 3D Perception and Semantic LiDAR SLAM System-on-Chip for Autonomous Driving SystemJueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, Kyuho Jason Lee. 1-28 [doi]
• Picasso: An Area/Energy-Efficient End-to-End Diffusion Accelerator with Hyper-Precision Data TypeSungyeob Yoo, Geonwoo Ko, Seri Ham, Seeyeon Kim, Yi Chen, Joo-Young Kim 0001. 1-15 [doi]
• NeuGPU: A Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile AR/VR DevicesJunha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, MinSung Kim, Hoi-Jun Yoo. 1 [doi]
• XiangShan: An Open-Source Project for High-Performance RISC-V Processors Meeting Industrial-Grade StandardsKaifan Wang, Jian Chen, Yinan Xu 0001, Zihao Yu, Zifei Zhang, Guokai Chen, Xuan Hu, Linjuan Zhang, Xi Chen, Wei He, Dan Tang, Ninghui Sun, Yungang Bao. 1-25 [doi]
• NVIDIA Blackwell Platform: Advancing Generative AI and Accelerated ComputingAjay Tirumala, Raymond Wong. 1-33 [doi]
• RNGD - Tensor Contraction Processor for Sustainable AI ComputingJune Paik. 1-33 [doi]
• NeCTAr and RASoC: Tale of Two Class SoCs for Language Model Interference and Robotics in Intel 16Viansa Schmulbach, Jason Kim, Ethan Gao, Nikhil Jha, Ethan Wu, Oliver Yu, Ben Oliveau, Xiangwei Kong, Brendan Roberts, Connor McMahon, Lixiang Yin, Vamber Yang, Brendan Brenner, George Moujaes, Boyu Hao, Lucy Revina, Kevin Anderson, Bryan Ngo, Yufeng Chi, Hongyi Huang, Reza Sajadiany, Raghav Gupta, Ella Schwarz, Jennifer Zhou, Ken Ho, Jerry Zhao, Anita Flynn, Borivoje Nikolic. 1 [doi]
• Inside Maia 100Sherry Xu, Chandru Ramakrishnan. 1-17 [doi]
• Towards "True" GPU Performance Scaling for OpenGPUBlaise Tine, Hyesoon Kim. 1-10 [doi]
• Next Generation "Zen 5" CoreBrad Cohen, Mahesh Subramony, Mike Clark. 1-27 [doi]
• Blackhole & TT-Metalium: The Standalone AI Computer and its Programming ModelJasmina Vasiljevic, Davor Capalija. 1-30 [doi]
• A Low-Power Large-Language-Model Processor with Big-Little Network and Implicit-Weight-Generation for On-Device AISangyeob Kim, Sangjin Kim, Wooyoung Jo, Soyeon Kim, Seongyon Hong, Nayeong Lee, Hoi-Jun Yoo. 1 [doi]
• The Journey to AI PervasivenessVictor Peng. 1-36 [doi]
• Tesla Transport Protocol Over Ethernet (TTPoE): A New Lossy, Exa-Scale Fabric for the Dojo AI SupercomputerEric Quinnell. 1-23 [doi]
• AMD Instinct MI300X Generative AI Accelerator and Platform ArchitectureAlan Smith 0003, Vamsi Alla. 1-22 [doi]
• SK Hynix AI-Specific Computing Memory Solution: From AiM Device to Heterogeneous AiMX-xPU System for Comprehensive LLM InferenceGuhyun Kim, Jinkwon Kim, Nahsung Kim, Woojae Shin, Jongsoon Won, Hyunha Joo, Haerang Choi, Byeongju An, Gyeongcheol Shin, Dayeon Yun, Jeongbin Kim 0001, Changhyun Kim, Ilkon Kim, Jaehan Park, Yosub Song, Byeongsu Yang, Hyeongdeok Lee, Seungyeong Park, Wonjun Lee, Seonghun Kim, Yonghoon Park, Yousub Jung, Gi-Ho Park, Euicheol Lim. 1-26 [doi]
• SambaNova SN40L RDU: Breaking the Barrier of Trillion+ Parameter Scale Gen AI ComputingRaghu Prabhakar. 1-24 [doi]
• Space-Mate: A 303.5mW Real-Time NeRF SLAM Processor with Sparse-Mixture-of-Experts-based AccelerationSeokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, Hoi-Jun Yoo. 1 [doi]
• Qualcomm Oryon™ CPUGerard Williams. 1-21 [doi]
• ™ Accelerator Chip for AIChris Berry. 1-29 [doi]
• An AI Compute ASIC with Optical Attach to Enable Next Generation Scale-Up ArchitecturesManish Mehta 0005. 1-30 [doi]
• Intel Gaudi 3 AI Accelerator: Architected for Gen AI Training and InferenceRoman Kaplan. 1-16 [doi]
• ACF-S: An 8-Terabit / Sec SuperNIC for High-Performance Data Movement in AI & Accelerated Compute NetworksShrijeet Mukherjee, Thomas Norrie. 1-25 [doi]
• Onyx: A Programmable Accelerator for Sparse Tensor AlgebraKalhan Koul, Maxwell Strange, Jackson Melchert, Alex Carsello, Yuchen Mei, Olivia Hsu, Taeyoung Kong, Po-Han Chen, Huifeng Ke, Keyi Zhang, Qiaoyi Liu, Gedeon Nyengele, Akhilesh Balasingam, Jayashree Adivarahan, Ritvik Sharma, Zhouhua Xie, Christopher Torng, Joel S. Emer, Fredrik Kjolstad, Mark Horowitz, Priyanka Raina. 1-91 [doi]