Search
Search Results
-
Balanced Distributed Computation Patterns
The state-of-the-art concurrent software development extensively uses various methodologies and approaches to obtain high-speed up. However,...
-
EPSILOD: efficient parallel skeleton for generic iterative stencil computations in distributed GPUs
Iterative stencil computations are widely used in numerical simulations. They present a high degree of parallelism, high locality and...
-
Application and user-specific data prefetching and parallel read algorithms for distributed file systems
Cloud computing systems are widely used to deploy big data-based applications because of their high storage and computation capacity. The key...
-
Component stability in low-space massively parallel computation
In this paper, we study the power and limitations of component-stable algorithms in the low-space model of massively parallel computation (
MPC ) ....
-
Optimizing the Parallelism of Communication and Computation in Distributed Training Platform
With the development of deep learning, DNN models have become more complex. Large-scale model parameters enhance the level of AI by improving the...
-
A high-performance, parallel, and hierarchically distributed model for coastal run-up events simulation and forecasting
The request for quickly available forecasts of intense weather and marine events impacting coastal areas is gradually increasing. High-performance...
-
-
Parallel and Distributed Data Series Processing on Modern and Emerging Hardware
This paper summarizes state-of-the-art results on data series processing with the emphasis on parallel and distributed data series indexes that...
-
WALCOM: Algorithms and Computation 18th International Conference and Workshops on Algorithms and Computation, WALCOM 2024, Kanazawa, Japan, March 18–20, 2024, Proceedings
This book constitutes the refereed proceedings of the 18th International Conference and Workshops on Algorithms and Computation, WALCOM 2024, held in...
-
Didal: Distributed Data Library for Development of Parallel Fragmented Programs
Nowadays with rapid evolution of high-performance computing systems it’s becoming essential to have tools to simplify development of efficient...
-
Distributed Computation Offloading Framework for Fog Computing Networks
Fog computing networks have been widely integrated in IoT-based systems to improve the quality of services (QoS) such as low response service delay...
-
Federated computation: a survey of concepts and challenges
Federated Computation is an emerging area that seeks to provide stronger privacy for user data, by performing large scale, distributed computations...
-
From distributed machine to distributed deep learning: a comprehensive survey
Artificial intelligence has made remarkable progress in handling complex tasks, thanks to advances in hardware acceleration and machine learning...
-
Space-efficient computation of parallel approximate string matching
Approximate string matching (ASM) has a number of applications in many disciplines, ranging from information retrieval to gene matching. Conventional...
-
Generic volume transfer for distributed mesh dynamic repartitioning
Efficient and distributed adaptive mesh construction and editing pose several challenges, including selecting the appropriate distributed data...
-
A Parallel and Distributed Quantum SAT Solver Based on Entanglement and Teleportation
Boolean satisfiability (SAT) solving is a fundamental problem in computer science. Finding efficient algorithms for SAT solving has broad...
-
A Synchronous Parallel Method with Parameters Communication Prediction for Distributed Machine Learning
With the development of machine learning technology in various fields, such as medical care, smart manufacturing, etc., the data has exploded. It is...
-
Distributed Parallel Tall-Skinny QR Factorization: Performance Evaluation of Various Algorithms on Various Systems
In this paper, we focus on the distributed parallel computation of tall-skinny QR factorization. Among various numerical algorithms, we evaluate the...
-
The Hardness of Optimization Problems on the Weighted Massively Parallel Computation Model
The topology-aware Massively Parallel Computation (MPC) model is proposed and studied recently, which enhances the classical MPC model by the...
-
TransGPerf: Exploiting Transfer Learning for Modeling Distributed Graph Computation Performance
It is challenging to model the performance of distributed graph computation. Explicit formulation cannot easily capture the diversified factors and...