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Registration Desk
8:00 AM - 1:00 PM
Oral
8:15 AM - 9:30 AM
5 Events in this session
CATWILD: Compiler Autotuning for TPU workloads in the Wild
Ignacio Cano ⋅ Yu Wang ⋅ Phitchaya Phothilimthana ⋅ Mike Burrows ⋅ ⋅ Matheus Camargo ⋅ Alexander Wertheim ⋅ Chao Wang ⋅ David Liu ⋅ Tengyu Sun ⋅ Arissa Wongpanich ⋅ Christof Angermueller ⋅ ⋅ ⋅ Vineetha Govindaraj ⋅ Amit Sabne ⋅ ⋅ ⋅ Berkin Ilbeyi ⋅ Ryan Lefever ⋅ Mehrdad Khani ⋅ Subhankar Shah ⋅ Ankit Sinha ⋅ ⋅ ⋅ ⋅ Nikhil Sarda ⋅ ⋅ ⋅ ⋅ Emily Donahue ⋅ Sami Abu-El-Haija ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ Naveen Kumar
Dataflow Is All You Need
Darshan Gandhi ⋅ Pushkar Nandkar ⋅ David Koeplinger ⋅ ⋅ Romy Tsoupidi ⋅ ⋅ ⋅ Tuowen Zhao ⋅ Reid Goodbar ⋅ ⋅ Leon Zhang ⋅ ⋅ John Long ⋅ Han Wang ⋅ ⋅ ⋅ ⋅ Yun Du ⋅ Håkan Zeffer ⋅ ⋅ Raghu Prabhakar
Efficient, VRAM-Constrained xLM Inference on Clients
Aditya Ukarande ⋅ Deep Shekhar ⋅ ⋅ Ram Rangan
ExecuTorch - A Unified PyTorch Solution to Run ML Models On-Device
Chen Lai ⋅ Cemal Bilgin ⋅ ⋅ Gregory Comer ⋅ ⋅ ⋅ ⋅ Lucy Qiu ⋅ Mengwei Liu ⋅ ⋅ Songhao Jia ⋅ ⋅ ⋅ Digant Desai ⋅ Hansong Zhang ⋅ Manuel Candales ⋅ Scott Roy ⋅ Sicheng Jia ⋅ Mergen Nachin ⋅ ⋅ Yanan Cao ⋅ ⋅ Shunting Zhang ⋅ ⋅ Angela Yi ⋅ Zhenrui Zhang ⋅ Andrew Or ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ Supriya Rao ⋅ ⋅ Soumith Chintala
WAVE: A SYMBOLIC PYTHON DSL AND COMPILER FOR HIGH PERFORMANCE MACHINE LEARNING
Harsh Menon ⋅ ⋅ Gaurav Verma ⋅ Martin P. Lücke ⋅ ⋅ ⋅ Nithin Meganathan ⋅ Sanket Pandit ⋅ William Gallard Hatch ⋅ ⋅ ⋅ Sahil FAIZAL ⋅ ⋅
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Oral
8:15 AM - 9:30 AM
5 Events in this session
Attribution-based Sparse Activation in Large Language Models
Jifeng Song ⋅ Xiangyu Yin ⋅ Boyuan Yang ⋅ Kai Huang ⋅ Weichen Liu ⋅ Wei Gao
BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding
Jiayi Yuan ⋅ Cameron Shinn ⋅ ⋅ Jingze Cui ⋅ George Klimiashvili ⋅ ⋅ Perkz Zheng ⋅ Bo Li ⋅ Zhou Yuxin ⋅ Zhouhai Ye ⋅ Weijie You ⋅ Richard Cai ⋅ Julien Demouth ⋅ John D. Owens ⋅ Xia Hu ⋅ ⋅ Timmy Liu ⋅ Huizi Mao
FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling
Ted Zadouri ⋅ Markus Hoehnerbach ⋅ Jay Shah ⋅ ⋅
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants
Bozhi You ⋅ Irene Wang ⋅ ⋅ Abhinav Jangda ⋅ Angélica Moreira ⋅ Roshan Dathathri ⋅ Divya Mahajan ⋅ Keshav Pingali
Spira: Exploiting Voxel Data Structural Properties for Efficient Sparse Convolution in Point Cloud Networks
Dionysios Adamopoulos ⋅ ⋅ Georgios Goumas ⋅ Christina Giannoula
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Invited Talk

Keynote - Christos Kozyrakis

Christos Kozyrakis
9:45 AM - 10:45 AM
Speaker Bio
Christos Kozyrakis
Christos Kozyrakis is a Professor of Electrical Engineering and Computer Science at Stanford University. He leads the multi-scale architecture & systems team (MAST), a research group that investigates hardware architectures, runtime management environments, system software, and programming models for systems ranging from cellphones to warehouse-scale datacenters. His current research focuses on resource efficient cloud computing, energy efficient compute and memory systems for emerging workloads, and scalable operating systems. Christos joined Stanford in 2002 after receiving a PhD in Computer Science from UC Berkeley. His alma mater is the University of Crete in Greece. He is a fellow of the ACM and the IEEE.
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Session
9:45 AM - 10:45 AM
Competition
11:00 AM - 1:00 PM
Session
11:00 AM - 1:00 PM