Copertina

Accelerating Elliptic Curve Point Additions on Versal AI Engine for Multi-scalar Multiplication

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ohno, Ayumi, Shimamura, Kotaro, Takamaeda-Yamazaki, Shinya
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Hardware Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Exploring the Versal AI Engine for 3D Gaussian Splatting
di: Shimamura, Kotaro, et al.
Pubblicazione: (2025)

Accelerating CRONet on AMD Versal AIE-ML Engines
di: Mhatre, Kaustubh, et al.
Pubblicazione: (2026)

Relational Hoare Logic for High-Level Synthesis of Hardware Accelerators
di: Tanaka, Izumi, et al.
Pubblicazione: (2026)

GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines
di: Mhatre, Kaustubh, et al.
Pubblicazione: (2025)

CAT: Customized Transformer Accelerator Framework on Versal ACAP
di: Zhang, Wenbo, et al.
Pubblicazione: (2024)

PUDTune: Multi-Level Charging for High-Precision Calibration in Processing-Using-DRAM
di: Kubo, Tatsuya, et al.
Pubblicazione: (2025)

Enabling Mixed criticality applications for the Versal AI-Engines
di: Sprave, Vincent, et al.
Pubblicazione: (2026)

An Efficient Hardware Implementation of Elliptic Curve Point Multiplication over $GF(2^m)$ on FPGA
di: Kumari, Ruby, et al.
Pubblicazione: (2025)

MVDRAM: Enabling GeMV Execution in Unmodified DRAM for Low-Bit LLM Acceleration
di: Kubo, Tatsuya, et al.
Pubblicazione: (2025)

PACiM: A Sparsity-Centric Hybrid Compute-in-Memory Architecture via Probabilistic Approximation
di: Zhang, Wenlun, et al.
Pubblicazione: (2024)

AMD Versal Implementations of FAM and SSCA Estimators
di: Li, Carol Jingyi, et al.
Pubblicazione: (2025)

Optimizing GEMM for Energy and Performance on Versal ACAP Architectures
di: Papalamprou, Ilias, et al.
Pubblicazione: (2025)

Online Alignment and Addition in Multi-Term Floating-Point Adders
di: Alexandridis, Kosmas, et al.
Pubblicazione: (2024)

Case Study: Horizontal Side-Channel Analysis Attack against Elliptic Curve Scalar Multiplication Accelerator under Laser Illumination
di: Petryk, Dmytro, et al.
Pubblicazione: (2026)

An Analytical Cost Model for Fast Evaluation of Multiple Compute-Engine CNN Accelerators
di: Qararyah, Fareed, et al.
Pubblicazione: (2025)

IMAGine: An In-Memory Accelerated GEMV Engine Overlay
di: Kabir, MD Arafat, et al.
Pubblicazione: (2024)

WideSA: A High Array Utilization Mapping Scheme for Uniform Recurrences on the Versal ACAP Architecture
di: Dai, Tuo, et al.
Pubblicazione: (2024)

Attacking AI Accelerators by Leveraging Arithmetic Properties of Addition
di: Heidary, Masoud, et al.
Pubblicazione: (2026)

TransDot: An Area-efficient Reconfigurable Floating-Point Unit for Trans-Precision Dot-Product Accumulation for FPGA AI Engines
di: Wang, Jiayi, et al.
Pubblicazione: (2026)

Edge GPU Aware Multiple AI Model Pipeline for Accelerated MRI Reconstruction and Analysis
di: Majeed, Ashiyana Abdul, et al.
Pubblicazione: (2025)

Floating-Point Multiply-Add with Approximate Normalization for Low-Cost Matrix Engines
di: Alexandridis, Kosmas, et al.
Pubblicazione: (2024)

TYTAN: Taylor-series based Non-Linear Activation Engine for Deep Learning Accelerators
di: Pramanik, Soham, et al.
Pubblicazione: (2025)

LogicSparse: Enabling Engine-Free Unstructured Sparsity for Quantised Deep-learning Accelerators
di: Li, Changhong, et al.
Pubblicazione: (2025)

DeMM: A Decoupled Matrix Multiplication Engine Supporting Relaxed Structured Sparsity
di: Peltekis, Christodoulos, et al.
Pubblicazione: (2024)

Communication Characterization of AI Workloads for Large-scale Multi-chiplet Accelerators
di: Musavi, Mariam, et al.
Pubblicazione: (2024)

FireFly-T: High-Throughput Sparsity Exploitation for Spiking Transformer Acceleration with Dual-Engine Overlay Architecture
di: Li, Tenglong, et al.
Pubblicazione: (2025)

DPUV4E: High-Throughput DPU Architecture Design for CNN on Versal ACAP
di: Li, Guoyu, et al.
Pubblicazione: (2025)

DataMaestro: A Versatile and Efficient Data Streaming Engine Bringing Decoupled Memory Access To Dataflow Accelerators
di: Yi, Xiaoling, et al.
Pubblicazione: (2025)

FuseFPS: Accelerating Farthest Point Sampling with Fusing KD-tree Construction for Point Clouds
di: Han, Meng, et al.
Pubblicazione: (2023)

SRAM Based Digital Custom Compute Engine for Improved Area Efficiency of AI Hardware
di: Dhakad, Narendra Singh, et al.
Pubblicazione: (2026)

bitSMM: A bit-Serial Matrix Multiplication Accelerator
di: Antunes, Pedro, et al.
Pubblicazione: (2026)

ADiP: Adaptive-Precision Systolic Array for Matrix Multiplication Acceleration
di: Abdelmaksoud, Ahmed J., et al.
Pubblicazione: (2025)

NeuroBlend: Towards Low-Power yet Accurate Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions
di: Fayyazi, Arash, et al.
Pubblicazione: (2023)

GUST: Graph Edge-Coloring Utilization for Accelerating Sparse Matrix Vector Multiplication
di: Gerami, Armin, et al.
Pubblicazione: (2024)

The xPU-athalon: Quantifying the Competition of AI Acceleration
di: Golden, Alicia, et al.
Pubblicazione: (2026)

All-rounder: A Flexible AI Accelerator with Diverse Data Format Support and Morphable Structure for Multi-DNN Processing
di: Noh, Seock-Hwan, et al.
Pubblicazione: (2023)

PC2IM: An Efficient In-Memory Computing Accelerator for 3D Point Cloud
di: Wang, Dengfeng, et al.
Pubblicazione: (2026)

AP-DRL: A Synergistic Algorithm-Hardware Framework for Automatic Task Partitioning of Deep Reinforcement Learning on Versal ACAP
di: Li, Enlai, et al.
Pubblicazione: (2026)

FPGA-Accelerated Correspondence-free Point Cloud Registration with PointNet Features
di: Sugiura, Keisuke, et al.
Pubblicazione: (2024)

A Reconfigurable Framework for AI-FPGA Agent Integration and Acceleration
di: Yunusoglu, Aybars, et al.
Pubblicazione: (2026)