Hardware-Software Co-Design

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1 paper in the last four weeks, down 75% on the four weeks before. 0.0% of all new papers.

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ArtifactArena: Evaluating Models by What They Build in the Physical World
Oct 5, 2026Kushagra Tiwary*, David Mayo*, Nikhil Behari +5Robotics Simulation Robotics
InfoLab, MIT CSAIL · Camera Culture, MIT Media Lab · Department of Psychiatry, NYU Grossman School of Medicine +1
SparseCraft: Agentic Hardware-Software Co-Optimization for Sparse Computing
Oct 4, 2026Rajatabha Chakraborty, M P Samartha, Vedant Pahariya +1Efficient Neural Network Inference Large Language Model-Guided Optimization
International Institute of Information Technology, Hyderabad, India
Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding
Aug 31, 2026Zhigeng Liu, Zhiyuan Ning, Ruixiao Li +5Long-Context Language Model Inference LLM Inference Acceleration
Fudan University, Shanghai, China · Shanghai Innovation Institute, Shanghai, China · Harbin Institute of Technology, Harbin, China
AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization
Aug 13, 2026Harshkumar Oza, Aritra Sarkar, Syed Naqi Abbas +4Hardware-Software Co-Design
Quantum Lab, Fujitsu Research of India
Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts
Aug 11, 2026Soumajyoti Sarkar, Yuxin Tang, Sheng ZhaMixture-of-Experts Language Models Language Model Scaling Laws
Amazon AGI Foundations
DIY e-HandPan: A new DIY Low-Cost Handpan Interface based on Arduino and ESP32 Microcontrollers
Aug 10, 2026Benoit Collin, Dominique Fourer, Eric GenotelleHardware-Software Co-Design
IBISC, University of Évry Paris-Saclay
MiCoPro: End-to-End Mixed Precision HW/SW Co-design with HW-aware Proxy Model
Aug 7, 2026Zijun Jiang, Yangdi LyuMixed-Precision Quantization Efficient Neural Network Inference
Microelectronics Thrust, the Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511453, China
Hardware-Software Co-Design for Float16 On-Device Training on RISC-V Single-Core
Jul 23, 2026Benjamin Hubinet, Pierre-Alain Moellic, Olivier Savry +2On-Device Training Hardware-Software Co-Design
CEA-Leti, Mines Saint-Etienne, Equipe Commune SAS, F-13541 Gardanne, France · Univ. Grenoble Alpes, CEA-Leti, F-38000 Grenoble, France · Mines Saint-Etienne, CEA-Leti, Centre CMP, Equipe commune SAS, F-13541 Gardanne, France
ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM
Jul 16, 2026Hyunwoo Oh, Suyeon Jang, Hanning Chen +3Efficient Neural Network Inference Hardware-Software Co-Design
University of California, Irvine
Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations
Jul 15, 2026Wenxuan Miao, Haosong Liu, Weiming Hu +9Video Diffusion Models Diffusion Transformer
Shanghai Jiao Tong University · Shanghai Jiao Tong University, Shanghai Qi Zhi Institute · Huawei Technologies +1
Automatic Model-Hardware Co-Adaptation for Heterogeneous AI Accelerators
Jul 14, 2026Tian Chen, Mingheng Mi, Pu Wang +2AI Accelerator Inference LLM Inference
Pazhou Laboratory (Huangpu) · Unaffiliated
A Survey on the Green Development of Large Models: From Resource-Efficient Architectures to Hardware-Software Co-Design
Jul 10, 2026Linhui Xiao, Guiping Cao, Mingyue Guo +6LLM Compression Energy-Efficient ML
1. Pengcheng Laboratory, Shenzhen 518066, China · 2. Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China · 3. Peking University, Beijing 100080, China
Hardware-Enforced Semantic Coordination for Safety-Critical Real-Time Autonomous Systems
Jul 2, 2026Uwe M. Borghoff, Paolo Bottoni, Remo PareschiMulti-Agent Coordination Safety-Critical Control
Department of Computer Science University of the Bundeswehr Munich Neubiberg, Germany · Department of Computer Science Sapienza University of Rome Rome, Italy · STAKE Lab University of Molise Campobasso, Italy
AgRefactor: Self-Evolving Agentic Workflow for HLS Compatibility and Performance
Jun 29, 2026Yang Zou, Zijian Ding, Yizhou Sun +1Multi-Agent LLM Systems LLM Agent Self-Improvement
1Carnegie Mellon University · University of California, Los Angeles
MLSYSIM: First-Principles Infrastructure Modeling for Machine Learning Systems
Jun 28, 2026Vijay Janapa ReddiHardware-Software Co-Design
Harvard University
Co-Optimization of Analog Kolmogorov-Arnold Networks for Low-Power Function Approximation in Flexible Electronics
Jun 26, 2026Paula Carolina Lozano Duarte, Georgios Zervakis, Mehdi Tahoori +1Energy-Efficient ML Kolmogorov-Arnold Networks
Dept. of Computer Science, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany · School of Electrical and Computer Engineering, National Technical University of Athens, Greece · Radyalis LLC, USA
Evidence-Driven LLM Agent for C-to-Synthesizable-C Conversion and Verification
Jun 25, 2026Zhe Zhao, Hongbing Lang, Zhihan Xiao +3Automated Program Repair Code Generation
Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China · Shenzhen Belon Technology Co., Ltd., Shenzhen 518055, China
Agentic evolution of physically constrained foundation models
Jun 24, 2026Jiangwei Zhang, Wen Sun, Chong Wang +7Model Compression LLM Quantization
State Key Laboratory of Cyberspace Security Defense, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100084, China. · University of Chinese Academy of Sciences, Beijing, 101408, China. · Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China.
Beyond Bayer: Task-Optimal Sensor Co-Design for Robust Autonomous-Driving Segmentation
Jun 23, 2026Reeshad Khan, John GauchAutonomous Driving Perception Computational Imaging
University Of Arkansas, Fayetteville AR 72701, USA
AgentDSE: Reasoning-Augmented Architectural Design Space Exploration
Jun 20, 2026Chenyu Wang, Jiahe Caroline Shi, David Kong +4Large Language Model-Guided Optimization Electronic Design Automation
Harvard University · Massachusetts Institute of Technology · Columbia University
A3C3: AI Algorithm and Accelerator Co-design, Co-search, and Co-generation
Jun 18, 2026Selin Yildirim, Yingbing Huang, Deming ChenHardware-Aware NAS Hardware-Software Co-Design
Siebel School of Computing and Data Science · Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign
Embedded Arena: Iterative Optimization via Hardware Feedback
Jun 15, 2026Zhihan Zhang, Alexander Le Metzger, Jiuyang Lyu +10Large Language Model-Guided Optimization Tiny ML
University of Washington · University of California San Diego · Northeastern University
SupraSNN: Exploiting Synapse-Level Parallelism in Spiking Neural Network Accelerators through Co-Optimized Mapping and Scheduling
Jun 11, 2026Seyed Sadra Ghavami, Mohammad Hossein Nikkhah, Mohammad Rasoul Roshanshah +1Spiking Neural Networks Hardware-Software Co-Design
High-Performance Embedded Architecture Laboratory (HiPEAL) School of Electrical and Computer Engineering College of Engineering, University of Tehran Tehran, Iran
Towards Autonomous Accelerator Design: FPGA Accelerator Generation with SECDA
Jun 9, 2026Vinamra Sharma, Xingjian Fu, Jude Haris +1Large Language Model-Guided Optimization Electronic Design Automation
School of Computing Science, University of Glasgow, Scotland, UK
Uncertainty-Aware End-to-End Co-Design of Neural Network Processors: From Training and Mapping to Fabrication
Jun 3, 2026Yuyang Du, Yujun Huang, Gioele ZardiniHardware-Software Co-Design
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore · Laboratory for Information & Decision Systems, Massachusetts Institute of Technology, Cambridge, MA 02139
DxPTA: An Architecture Design Space Exploration with Optical Dataflow-guided Strategy for HW/SW Co-Design of Photonic Transformer Accelerators
Jun 2, 2026Rachmad Vidya Wicaksana Putra, Solomon Micheal Serunjogi, Mahmoud Rasras +1Efficient Transformer Inference Hardware-Software Co-Design
eBRAIN Lab, Division of Engineering, New York University (NYU) Abu Dhabi, United Arab Emirates · Photonic Research Lab (PRL), Division of Engineering, New York University (NYU) Abu Dhabi, United Arab Emirates
EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture
May 22, 2026Bowen Duan, Cong Guo, Chiyue Wei +8Vector Quantization LLM Inference Acceleration
Duke University, USA
COSMIC: Concurrent Optimization of Structure, Material, and Integrated Control for robotic systems
May 12, 2026Qinsong Guo, Liwei WangTopology Optimization Robot Morphology-Control Co-Design
Dept. of Mechanical Engineering Carnegie Mellon University Pittsburgh, PA 15213
Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations
May 12, 2026Arthur Fyon, Julien Brandoit, Loris Mendolia +3Energy-Efficient ML Keyword Spotting
University of Liège Liège, Belgium
MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces
May 11, 2026Srinivas Sridharan, Theodor-Adrian Badea, Andy Balogh +26Benchmark Design Hardware-Software Co-Design
1NVIDIA · 2Keysight · 3AMD +7

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ArtifactArena: Evaluating Models by What They Build in the Physical World

Kushagra Tiwary*, David Mayo*, Nikhil Behari, Xiangzhou Sun+4

InfoLab, MIT CSAIL · Camera Culture, MIT Media Lab · Department of Psychiatry, NYU Grossman School of Medicine+1

Robotics Simulation Robotics AI Agent Benchmarks Hardware-Software Co-Design

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To evaluate the frontier, we must measure models not by what they say, but by what they can engineer and build in grounded physical environments. We introduce \textsc{ArtifactArena}, an open-ended platform where models face a physically grounded hardware-software co-design challenge: engineering fully functional robots to compete in a simulated arena. We evaluate a frontier model's zero-shot, verifier guided refinement, and open-ended physical design capabilities through three harnesses that refine their bot artifacts based on text descriptions, physics simulator feedback, and gameplay data. We benchmark these capabilities with an Elo ranking of frontier models derived from head-to-head tournaments between their artifacts. By releasing this framework and tournament infrastructure for ongoing community submissions, we establish a living, non-saturating testbed to continuously measure the expanding limits of open-ended intelligence in the physical world. Please visit https://artifactarena.ai for more information.

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Latest papers 46