Title
Let Your Graph Do the Talking: Encoding Structured Data for LLMs Bryan Perozzi Bahare Fatemi Dustin Zelle Anton Tsitsulin Mehran Kazemi Rami Al-Rfou Jonathan J. Halcrow GNN 42 55 0 08 Feb 2024
Training DNN Models over Heterogeneous Clusters with Optimal Performance Chengyi Nie Jessica Maghakian Zhenhua Liu 26 0 0 07 Feb 2024
Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression Xiaoxin Su Yipeng Zhou Laizhong Cui Song Guo FedML 30 3 0 06 Feb 2024
HEANA: A Hybrid Time-Amplitude Analog Optical Accelerator with Flexible Dataflows for Energy-Efficient CNN Inference Sairam Sri Vatsavai Venkata Sai Praneeth Karempudi Ishan G. Thakkar 32 0 0 05 Feb 2024
A Comparative Analysis of Microrings Based Incoherent Photonic GEMM Accelerators Sairam Sri Vatsavai Venkata Sai Praneeth Karempudi Oluwaseun Adewunmi Alo Ishan G. Thakkar 26 2 0 05 Feb 2024
ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda CLIP 24 6 0 04 Feb 2024
Data-Oblivious ML Accelerators using Hardware Security Extensions Hossam ElAtali John Z. Jekel Lachlan J. Gunn N. Asokan 14 0 0 29 Jan 2024
Digital-analog hybrid matrix multiplication processor for optical neural networks Xiansong Meng Deming Kong K. Kim Qiuchi Li Po Dong Ingemar J. Cox Christina Lioma Hao Hu 19 0 0 26 Jan 2024
PartIR: Composing SPMD Partitioning Strategies for Machine Learning Sami Alabed Daniel Belov Bart Chrzaszcz Juliana Franco Dominik Grewe ... Michael Schaarschmidt Timur Sitdikov Agnieszka Swietlik Dimitrios Vytiniotis Joel Wee 33 3 0 20 Jan 2024
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization K. Balaskas Andreas Karatzas Christos Sad K. Siozios Iraklis Anagnostopoulos Georgios Zervakis Jörg Henkel MQ 41 10 0 23 Dec 2023
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching Pengmiao Zhang Neelesh Gupta Rajgopal Kannan Viktor K. Prasanna 48 0 0 23 Dec 2023
Experimental demonstration of magnetic tunnel junction-based computational random-access memory Yang Lv Brandon R. Zink Robert P. Bloom Husrev Cilasun Pravin Khanal ... Ali T. Habiboglu Weigang Wang S. Sapatnekar Ulya R. Karpuzcu Jian-Ping Wang 11 7 0 21 Dec 2023
Muchisim: A Simulation Framework for Design Exploration of Multi-Chip Manycore Systems Marcelo Orenes-Vera Esin Tureci M. Martonosi D. Wentzlaff 24 7 0 15 Dec 2023
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding Talfan Evans Shreya Pathak Hamza Merzic Jonathan Schwarz Ryutaro Tanno Olivier J. Hénaff 20 16 0 08 Dec 2023
Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections Marcel Wagenlander Guo Li Bo Zhao Luo Mai Peter R. Pietzuch 43 7 0 08 Dec 2023
On The Fairness Impacts of Hardware Selection in Machine Learning Sree Harsha Nelaturu Nishaanth Kanna Ravichandran Cuong Tran Sara Hooker Ferdinando Fioretto 53 3 0 06 Dec 2023
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning Omer Subasi Oceane Bel Joseph Manzano Kevin J. Barker FedML OOD PINN 28 2 0 05 Dec 2023
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models Yushi Hu Otilia Stretcu Chun-Ta Lu Krishnamurthy Viswanathan Kenji Hata Enming Luo Ranjay Krishna Ariel Fuxman VLM LRM MLLM 52 30 0 05 Dec 2023
Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments Shanqing Cai Subhashini Venugopalan Katie Seaver Xiang Xiao Katrin Tomanek ... Daniel E Vance Blair Casey Steve M. Gleason Philip Q. Nelson Michael P. Brenner 30 7 0 03 Dec 2023
Monitor Placement for Fault Localization in Deep Neural Network Accelerators Wei-Kai Liu 30 0 0 28 Nov 2023
Tascade: Hardware Support for Atomic-free, Asynchronous and Efficient Reduction Trees Marcelo Orenes-Vera Esin Tureci D. Wentzlaff M. Martonosi 16 2 0 27 Nov 2023
Learning to Skip for Language Modeling Dewen Zeng Nan Du Tao Wang Yuanzhong Xu Tao Lei Zhifeng Chen Claire Cui 25 11 0 26 Nov 2023
Large Language Models in Law: A Survey Jinqi Lai Wensheng Gan Jiayang Wu Zhenlian Qi Philip S. Yu ELM AILaw 34 72 0 26 Nov 2023
Locally Optimal Descent for Dynamic Stepsize Scheduling Gilad Yehudai Alon Cohen Amit Daniely Yoel Drori Tomer Koren Mariano Schain 37 0 0 23 Nov 2023
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints Francesco Corti Balz Maag Joachim Schauer U. Pferschy O. Saukh 37 2 0 22 Nov 2023
Fast Inner-Product Algorithms and Architectures for Deep Neural Network Accelerators Trevor E. Pogue N. Nicolici 30 3 0 20 Nov 2023
Tensor-Aware Energy Accounting Timur Babakol Yu David Liu 21 3 0 19 Nov 2023
DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack Perry Gibson José Cano Elliot J. Crowley Amos Storkey Michael F. P. O'Boyle 27 1 0 15 Nov 2023
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models Jan Finkbeiner Thomas Gmeinder M. Pupilli A. Titterton Emre Neftci 29 3 0 07 Nov 2023
Practical Performance Guarantees for Pipelined DNN Inference Aaron Archer Matthew Fahrbach Kuikui Liu Prakash Prabhu 29 0 0 07 Nov 2023
Remaining useful life prediction of Lithium-ion batteries using spatio-temporal multimodal attention networks Sungho Suh D. Mittal Hymalai Bello Bo Zhou M. Jha P. Lukowicz 22 3 0 29 Oct 2023
Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators Sean Kinzer Soroush Ghodrati R. Mahapatra Byung Hoon Ahn Edwin Mascarenhas Xiaolong Li J. Matai Liang Zhang H. Esmaeilzadeh 27 2 0 27 Oct 2023
GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation Jhe-Yu Liou Stephanie Forrest Carole-Jean Wu VLM 19 0 0 16 Oct 2023
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models Wenqi Jiang Marco Zeller R. Waleffe Torsten Hoefler Gustavo Alonso 54 14 0 15 Oct 2023
Accelerating Machine Learning Primitives on Commodity Hardware R. Snytsar 31 0 0 08 Oct 2023
mlirSynth: Automatic, Retargetable Program Raising in Multi-Level IR using Program Synthesis Alexander Brauckmann Elizabeth Polgreen Tobias Grosser Michael F. P. O'Boyle 8 2 0 06 Oct 2023
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems Samuel Hsia Alicia Golden Bilge Acun Newsha Ardalani Zach DeVito Gu-Yeon Wei David Brooks Carole-Jean Wu MoE 53 9 0 04 Oct 2023
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection Lakshmi Nair David Widemann Brad Turcott Nick Moore Alexandra Wleklinski D. Bunandar Ioannis Papavasileiou Shihu Wang Eric Logan 24 0 0 28 Sep 2023
Transformer-VQ: Linear-Time Transformers via Vector Quantization Albert Mohwald 34 15 0 28 Sep 2023
Small-scale proxies for large-scale Transformer training instabilities Mitchell Wortsman Peter J. Liu Lechao Xiao Katie Everett A. Alemi ... Jascha Narain Sohl-Dickstein Kelvin Xu Jaehoon Lee Justin Gilmer Simon Kornblith 40 84 0 25 Sep 2023
Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantization Christopher Subia-Waud S. Dasmahapatra UQCV MQ 21 0 0 24 Sep 2023
Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design Chao Fang Wei Sun Aojun Zhou Zhongfeng Wang 19 3 0 22 Sep 2023
A Machine Learning-oriented Survey on Tiny Machine Learning Luigi Capogrosso Federico Cunico D. Cheng Franco Fummi Marco Cristani SyDa MU 32 34 0 21 Sep 2023
Logic Design of Neural Networks for High-Throughput and Low-Power Applications Kangwei Xu Grace Li Zhang Ulf Schlichtmann Bing Li 30 3 0 19 Sep 2023
USM-SCD: Multilingual Speaker Change Detection Based on Large Pretrained Foundation Models Guanlong Zhao Yongqiang Wang Jason W. Pelecanos Yu Zhang Hank Liao Yiling Huang Han Lu Quan Wang 25 4 0 14 Sep 2023
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization Xingfu Wu P. Paramasivam Valerie Taylor 21 3 0 13 Sep 2023
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress Fraser Mince Dzung Dinh Jonas Kgomo Neil Thompson Sara Hooker 19 6 0 12 Sep 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Dustin Wright Christian Igel Gabrielle Samuel Raghavendra Selvan 35 15 0 05 Sep 2023
LoopTune: Optimizing Tensor Computations with Reinforcement Learning Dejan Grubisic Bram Wasti Chris Cummins John Mellor-Crummey A. Zlateski 27 0 0 04 Sep 2023
Reducing shared memory footprint to leverage high throughput on Tensor Cores and its flexible API extension library Hiroyuki Ootomo Rio Yokota 13 7 0 29 Aug 2023