Cover Image

gECC: A GPU-based high-throughput framework for Elliptic Curve Cryptography

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiong, Qian, Ma, Weiliang, Shi, Xuanhua, Zhou, Yongluan, Jin, Hai, Huang, Kaiyi, Wang, Haozhou, Wang, Zhengru
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Hardware Architecture Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Multi-Instance GPU Efficiency via Sub-Entry Sharing TLB Design
by: Li, Bingyao, et al.
Published: (2024)

Sparse MTTKRP Acceleration for Tensor Decomposition on GPU
by: Wijeratne, Sasindu, et al.
Published: (2024)

Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems
by: Zhang, Chen, et al.
Published: (2026)

Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference
by: Chung, Euijun, et al.
Published: (2026)

HetGPU: The pursuit of making binary compatibility towards GPUs
by: Yang, Yiwei, et al.
Published: (2025)

Optimizing ML Concurrent Computation and Communication with GPU DMA Engines
by: Agrawal, Anirudha, et al.
Published: (2024)

Application Experiences on a GPU-Accelerated Arm-based HPC Testbed
by: Elwasif, Wael, et al.
Published: (2022)

Microbenchmark-Driven Analytical Performance Modeling Across Modern GPU Architectures
by: Jarmusch, Aaron, et al.
Published: (2026)

Analyzing Reverse Address Translation Overheads in Multi-GPU Scale-Up Pods
by: Fatima, Amel, et al.
Published: (2026)

FinGraV: Methodology for Fine-Grain GPU Power Visibility and Insights
by: Singhania, Varsha, et al.
Published: (2024)

MoE-Hub: Taming Software Complexity for Seamless MoE Overlap with Hardware-Accelerated Communication on Multi-GPU Systems
by: Zhou, Zhuoshan, et al.
Published: (2026)

An Evaluation and Comparison of GPU Hardware and Solver Libraries for Accelerating the OPM Flow Reservoir Simulator
by: Qiu, Tong Dong, et al.
Published: (2023)

Scheduling Techniques of AI Models on Modern Heterogeneous Edge GPU -- A Critical Review
by: Majeed, Ashiyana Abdul, et al.
Published: (2025)

Fine-Grained Power and Energy Attribution on AMD GPU/APU-Based Exascale Nodes
by: McDaniel, Adam, et al.
Published: (2026)

Multi-Partner Project: Multi-GPU Performance Portability Analysis for CFD Simulations at Scale
by: Eleftherakis, Panagiotis-Eleftherios, et al.
Published: (2026)

Chopper: A Multi-Level GPU Characterization Tool & Derived Insights Into LLM Training Inefficiency
by: Kurzynski, Marco, et al.
Published: (2025)

SwarmIO: Towards 100 Million IOPS SSD Emulation for Next-generation GPU-centric Storage Systems
by: Kim, Hyeseong, et al.
Published: (2026)

Evaluation of computational and energy performance in matrix multiplication algorithms on CPU and GPU using MKL, cuBLAS and SYCL
by: Torres, L. A., et al.
Published: (2024)

GigaAPI for GPU Parallelization
by: Suvarna, M., et al.
Published: (2025)

Parallelizing a modern GPU simulator
by: Huerta, Rodrigo, et al.
Published: (2025)

HieraSparse: Hierarchical Semi-Structured Sparse KV Attention
by: Wang, Haoxuan, et al.
Published: (2026)

Datapath Combinational Equivalence Checking With Hybrid Sweeping Engines and Parallelization
by: Chen, Zhihan, et al.
Published: (2024)

CCSS: Hardware-Accelerated RTL Simulation with Fast Combinational Logic Computing and Sequential Logic Synchronization
by: Feng, Weigang, et al.
Published: (2025)

Taking Cryptography Out of the Data Path via Near-Memory Processing in DRAM
by: Barcarolo, Nicola, et al.
Published: (2026)

Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing
by: Li, Ming, et al.
Published: (2024)

PAM: Processing Across Memory Hierarchy for Efficient KV-centric LLM Serving System
by: Liu, Lian, et al.
Published: (2026)

Survey of Disaggregated Memory: Cross-layer Technique Insights for Next-Generation Datacenters
by: Wang, Jing, et al.
Published: (2025)

Understanding Bottlenecks for Efficiently Serving LLM Inference With KV Offloading
by: Meng, William, et al.
Published: (2025)

SpArch: Efficient Architecture for Sparse Matrix Multiplication
by: Zhang, Zhekai, et al.
Published: (2020)

Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with Voxel
by: Liu, Yiqi, et al.
Published: (2026)

Adaptive Multi-Objective Tiered Storage Configuration for KV Cache in LLM Service
by: Zheng, Xianzhe, et al.
Published: (2026)

DeepStack: Scalable and Accurate Design Space Exploration for Distributed 3D-Stacked AI Accelerators
by: Mo, Zhiwen, et al.
Published: (2026)

Adaptive KV Cache Reuse for Fast Long-Context LLM Serving
by: li, Fei, et al.
Published: (2026)

How Fast Can Graph Computations Go on Fine-grained Parallel Architectures
by: Wang, Yuqing, et al.
Published: (2025)

ODIN-Based CPU-GPU Architecture with Replay-Driven Simulation and Emulation
by: Dorairaj, Nij, et al.
Published: (2026)

TeraPool: A Physical Design Aware, 1024 RISC-V Cores Shared-L1-Memory Scaled-up Cluster Design with High Bandwidth Main Memory Link
by: Zhang, Yichao, et al.
Published: (2026)

FlexStep: Enabling Flexible Error Detection in Multi/Many-core Real-time Systems
by: Wang, Tinglue, et al.
Published: (2025)

FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale
by: Zhu, Zeyu, et al.
Published: (2024)

FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics
by: Wang, Zeke, et al.
Published: (2025)

Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs
by: Zhang, Qijun, et al.
Published: (2026)