Search Results - "Computing methodologies Parallel computing methodologies"

Integrating HPC, AI, and Workflows for Scientific Data Analysis (Dagstuhl Seminar 23352)

Authors: Badia, Rosa M. Berti-Equille, Laure da Silva, Rafael Ferreira et al.

Subject Terms: Exascale class machine optimization, Computing methodologies → Parallel computing methodologies, Performance data analysis and root cause detection, Computing methodologies → Distributed computing methodologies, Computing methodologies → Machine learning, High dimensional data representation, Large scale data presentation and analysis

High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs

Authors: Jean-Paul Kneib Gilles Fourestey Markus Rexroth et al.

Contributors: Jean-Paul Kneib Gilles Fourestey Markus Rexroth et al.

Source: Astronomy and Computing. 30:100340

Subject Terms: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Gravitational lensing, FOS: Physical sciences, Galaxies: halos, 7. Clean energy, 01 natural sciences, Applied computing: Physical sciences and engineering: Astronomy, [PHYS.PHYS.PHYS-INS-DET] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], 0103 physical sciences, Dark matter, Computing methodologies: Parallel computing methodologies: Parallel algorithms: Massively parallel algorithms, Galaxies: clusters: general, [PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph], Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Astrophysics - Cosmology and Nongalactic Astrophysics

Access URL: http://arxiv.org/pdf/1902.03252
http://arxiv.org/abs/1902.03252
https://www.sciencedirect.com/science/article/pii/S2213133719300137
https://dblp.uni-trier.de/db/journals/ascom/ascom30.html#RexrothSFK20
https://ui.adsabs.harvard.edu/abs/2020A&C....3000340R/abstract
https://hal.science/hal-02051538v1
https://doi.org/10.1016/j.ascom.2019.100340

High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs.

Authors: Rexroth, M. Schäfer, C. Fourestey, G. et al.

Source: Astronomy & Computing. Jan2020, Vol. 30, pN.PAG-N.PAG. 1p.

Subject Terms: Gravitational lenses, High performance computing, Graphics processing units, Dark matter, Magnitude (Mathematics), Energy consumption, Parallel algorithms

SimTrace: Exploiting Spatial and Temporal Sampling for Large-Scale Performance Analysis.

Authors: XUAN, ZHIBO YOU, XIN FENG, TIANYU et al.

Source: ACM Transactions on Architecture & Code Optimization; Jun2025, Vol. 22 Issue 2, p1-26, 26p

OptiFX: Automatic Optimization for Convolutional Neural Networks with Aggressive Operator Fusion on GPUs.

Authors: WANG, XUEYING LI, SHIGANG QIAN, HAO et al.

Source: ACM Transactions on Architecture & Code Optimization; Jun2025, Vol. 22 Issue 2, p1-27, 27p

Hybrid PDES Simulation of HPC Networks Using Zombie Packets.

Authors: Cruz-Camacho, Elkin Brown, Kevin Wang, Xin et al.

Source: ACM Transactions on Modeling & Computer Simulation; Apr2025, Vol. 35 Issue 2, p1-19, 19p

Subject Terms: COMPUTER network traffic, HYBRID computer simulation, SCHEDULING

PMGraph: Accelerating Concurrent Graph Queries over Streaming Graphs.

Authors: Mao, Fubing Liu, Xu Zhang, Yu et al.

Source: ACM Transactions on Architecture & Code Optimization; Dec2024, Vol. 21 Issue 4, p1-25, 25p

Analog In-memory Circuit Design of Polynomial Multiplication for Lattice Cipher Acceleration Application.

Authors: Du, Sichun Li, Jun Sun, Chen et al.

Source: ACM Transactions on Embedded Computing Systems; Nov2024, Vol. 23 Issue 6, p1-24, 24p

Subject Terms: DISCRETE Fourier transforms, ANALOG circuits, POLYNOMIAL time algorithms, MULTIPLICATION, CIPHERS

(De/Re)-Composition of Data-Parallel Computations via Multi-Dimensional Homomorphisms.

Authors: Rasch, Ari

Source: ACM Transactions on Programming Languages & Systems; Sep2024, Vol. 46 Issue 3, p1-74, 74p

Subject Terms: LINEAR algebra, MODERN architecture, QUANTUM chemistry, DATA mining, QUANTUM computing, DEEP learning

Distributed Computing Optimization in Unmanned Aerial Vehicle Swarm Cooperative Networks.

Authors: Wangchun Luo Xinghua Zhang Fu Zhang et al.

Source: Journal of Computing & Information Technology; Dec2023, Vol. 31 Issue 4, p203-217, 16p

Subject Terms: DRONE aircraft, DISTRIBUTED algorithms, DISTRIBUTED computing, PARTICLE swarm optimization, MULTIAGENT systems, PREDICTION models

Vector Extensions in COTS Processors to Increase Guaranteed Performance in Real-Time Systems.

Authors: PUJOL, ROGER JORBA, JOSEP TABANI, HAMID et al.

Source: ACM Transactions on Embedded Computing Systems; Mar2023, Vol. 22 Issue 2, p1-26, 26p

Subject Terms: CENTRAL processing units, GRAPHICS processing units, ELECTRONIC data processing, PARALLEL programming, RACE, VECTOR analysis, HIGH performance computing

Company/Entity: NVIDIA Corp.

A Deep Neural Network Accelerator using Residue Arithmetic in a Hybrid Optoelectronic System.

Authors: JIAXIN PENG ALKABANI, YOUSRA PURI, KRUNAL et al.

Source: ACM Journal on Emerging Technologies in Computing Systems; Oct2022, Vol. 18 Issue 4, p1-26, 26p

Subject Terms: ARTIFICIAL neural networks, MODULAR arithmetic, WAVELENGTH division multiplexing, CONVOLUTIONAL neural networks, NUMBER systems, MULTIPLIERS (Mathematical analysis), HYBRID systems

Romou: Rapidly Generate High-Performance Tensor Kernels for Mobile GPUs.

Authors: Rendong Liang Ting Cao Jicheng Wen et al.

Source: MobiCom: International Conference on Mobile Computing & Networking; 2022, p487-500, 14p

Subject Terms: ARTIFICIAL neural networks, COMPILERS (Computer programs)

AsyMo: Scalable and Efficient Deep-Learning Inference on Asymmetric Mobile CPUs.

Authors: Manni Wang Shaohua Ding Ting Cao et al.

Source: MobiCom: International Conference on Mobile Computing & Networking; 2021, p215-228, 14p

Subject Terms: DEEP learning, CENTRAL processing units, MULTIPROCESSORS, SCALABILITY

Energy-Efficient Computation Offloading for UAV-Assisted MEC: A Two-Stage Optimization Scheme.

Authors: WEIWEI LIN TIANSHENG HUANG XIN LI et al.

Source: ACM Transactions on Internet Technology; Nov2021, Vol. 22 Issue 1, p1-23, 23p

Subject Terms: ONLINE algorithms, ENERGY conservation, EDGE computing, POWER transmission, ALGORITHMS, MOBILE computing

Scheduling on Two Types of Resources: A Survey.

Authors: BEAUMONT, OLIVIER CANON, LOUIS-CLAUDE EYRAUD-DUBOIS, LIONEL et al.

Source: ACM Computing Surveys; May2021, Vol. 53 Issue 3, p1-36, 36p

Subject Terms: RESOURCE allocation, PRODUCTION scheduling, SCHEDULING, HETEROGENEITY, ALGORITHMS

Blockchains: A Systematic Multivocal Literature Review.

Authors: BUTIJN, BERT-JAN TAMBURRI, DAMIAN A. VAN DEN HEUVEL, WILLEM-JAN

Source: ACM Computing Surveys; May2021, Vol. 53 Issue 3, p1-37, 37p

Subject Terms: TECHNICAL literature, SOFTWARE architecture, GREY literature, ACADEMIA, POPULARITY

Software Development Lifecycle for Energy Efficiency: Techniques and Tools.

Authors: GEORGIOU, STEFANOS RIZOU, STAMATIA SPINELLIS, DIOMIDIS

Source: ACM Computing Surveys; Jul2020, Vol. 52 Issue 4, p1-33, 33p

Subject Terms: ENERGY development, COMPUTER software development, ENERGY consumption, PARALLEL programming, SOFTWARE verification, DATA structures

Multi-User Mobile Sequential Recommendation for Route Optimization.

Authors: KELI XIAO ZEYANG YE LIHAO ZHANG et al.

Source: ACM Transactions on Knowledge Discovery from Data; Jun2020, Vol. 14 Issue 5, p1-28, 28p

Subject Terms: SIMULATED annealing, CITIES & towns, PARALLEL programming, ALGORITHMS, PROBLEM solving

Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection.

Authors: SANZ MARCO, VICENT TAYLOR, BEN ZHENG WANG et al.

Source: ACM Transactions on Embedded Computing Systems; Feb2020, Vol. 19 Issue 1, p1-28, 28p

Subject Terms: MACHINE translating, RECURRENT neural networks, DEEP learning, ARTIFICIAL neural networks, MACHINE learning, ADAPTIVE computing systems