Awesome Hardware Architecture

Less Is More: Optimizing Function Calling For LLM Execution On Edge Devices (2024)

Varatheepan Paramanayakam, Andreas Karatzas, Iraklis Anagnostopoulos, et al.

6.77

Transferable Latency Prediction for Fast LLM Screening on Heterogeneous Edge Devices (2026)

Xiaolong Tu et al.

5.49

HCRMap: Pressure-Aware Hot-Expert Residency Mapping for 3.5D MoE Chiplet Inference (2026)

Yongqin Zhang

4.39

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop (2026)

Andrea Mattia Garavagno et al.

4.39

Sparse by Command: Task-Conditional Compute Skipping for Multi-Task Inference Accelerators (2026)

Afzal Ahmad et al.

4.39

The Rising Unsustainability of AI Graphics Cards Production (2026)

Cl\'ement Morand et al.

3.51

Transformer-Guided Swarm Intelligence for Frugal Neural Architecture Search (2026)

Romain Amigon

3.51

VeriPilot: An LLM-Powered Verilog Debugging Framework (2026)

Yihan Wang et al.

1.94

HERCULES: Hardware-Efficient, Robust, Continual Learning Neural Architecture Search (2026)

Matteo Gambella et al.

1.89

A3D: Agentic AI flow for autonomous Accelerator Design (2026)

Abinand Nallathambi et al.

1.89

AHASD: Asynchronous Heterogeneous Architecture for LLM Adaptive Drafting Speculative Decoding on Mobile Devices (2026)

Ma Zirui et al.

1.83

RedFuser: An Automatic Operator Fusion Framework for Cascaded Reductions on AI Accelerators (2026)

Xinsheng Tang et al.

1.78

Differentiable Initialization-Accelerated CPU-GPU Hybrid Combinatorial Scheduling (2026)

Mingju Liu et al.

1.78

Few-Shot Design Optimization by Exploiting Auxiliary Information (2026)

Arjun Mani et al.

1.72

GPU-Accelerated ANNS: Quantized for Speed, Built for Change (2026)

Hunter McCoy et al.

1.67

ReVEAL: GNN-Guided Reverse Engineering for Formal Verification of Optimized Multipliers (2025)

Chen Chen et al.

1.61

Towards Understanding, Analyzing, And Optimizing Agentic AI Execution: A Cpu-centric Perspective (2025)

Ritik Raj, Souvik Kundu, Ishita Vohra, et al.

1.56

Automated Algorithm Design for Auto-Tuning Optimizers (2025)

Floris-Jan Willemsen et al.

1.50

3D Optimization for AI Inference Scaling: Balancing Accuracy, Cost, and Latency (2025)

Minseok Jung et al.

1.50

POLARON: Precision-aware On-device Learning and Adaptive Runtime-cONfigurable AI acceleration (2025)

Mukul Lokhande et al.

1.28

Hang Yang et al.

1.28

David Vs. Goliath: Can Small Models Win Big With Agentic AI In Hardware Design? (2025)

Shashwat Shankar, Subhranshu Pandey, Innocent Dengkhw Mochahari, et al.

1.28

Agent.xpu: Efficient Scheduling Of Agentic LLM Workloads On Heterogeneous Soc (2025)

Xinming Wei, Jiahao Zhang, Haoran Li, et al.

1.28

Onboard Optimization and Learning: A Survey (2025)

Monirul Islam Pavel et al.

1.22

TuRTLe: A Unified Evaluation of LLMs for RTL Generation (2025)

Dario Garcia-Gasulla et al.

1.17

Scalable Runtime Architecture for Data-driven, Hybrid HPC and ML Workflow Applications (2025)

Andre Merzky et al.

1.11

ZeroLM: Data-Free Transformer Architecture Search for Language Models (2025)

Zhen-Song Chen and Hong-Wei Ding and Xian-Jia Wang and Witold Pedrycz

1.11

AttentionEngine: A Versatile Framework for Efficient Attention Mechanisms on Diverse Hardware Platforms (2025)

Feiyang Chen et al.

1.06

Iicpilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA (2024)

Zesong Jiang, Qing Zhang, Cheng Liu, et al.

0.00

Fast Task-Aware Architecture Inference (2019)

Efi Kokiopoulou et al.

—

HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking (2019)

Shen Yan et al.

—

Neural Architecture Search in Embedding Space (2019)

Chun-Ting Liu

—

A General Large Neighborhood Search Framework for Solving Integer Linear Programs (2020)

Jialin Song et al.

—

Neural Architecture Generator Optimization (2020)

Binxin Ru et al.

—

EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions (2020)

Yuhong Li et al.

—

HAPI: Hardware-Aware Progressive Inference (2020)

Stefanos Laskaridis et al.

—

Efficient Incorporation of Multiple Latency Targets in the Once-For-All Network (2020)

Vidhur Kumar and Andrew Szidon

—

FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism (2021)

Je Yang et al.

—

HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search (2021)

Xiangzhong Luo et al.

—

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning & HPC Workloads (2021)

Evangelos Georganas et al.

—

Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions (2021)

Stefanos Laskaridis et al.

—

ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies (2021)

Yu Shen et al.

—

Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform (2023)

Shiwei Zhang et al.

—

MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration (2023)

Zhiqiang Que et al.

—

Accelerating Edge AI with Morpher: An Integrated Design, Compilation and Simulation Framework for CGRAs (2023)

Dhananjaya Wijerathne et al.

—

Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA (2024)

Zehuan Zhang et al.

—

MTL-Split: Multi-Task Learning for Edge Devices using Split Computing (2024)

Luigi Capogrosso et al.

—

Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost (2024)

Jannis Maier et al.

—

Accelerating AI Performance using Anderson Extrapolation on GPUs (2024)

Saleem Abdul Fattah Ahmed Al Dajani et al.

—

Awesome Hardware Architecture

Datasets & benchmarks

Key papers

Hardware Architecture

Awesome Hardware Architecture

Datasets & benchmarks

Key papers