Search Results - Distributed Memory Computing

ClimateSpark: An in-memory distributed computing framework for big climate data analytics by Hu, Fei, Yang, Chaowei, Schnase, John L., Duffy, Daniel Q., Xu, Mengchao, Bowen, Michael K., Lee, Tsengdar, Song, Weiwei

“… This paper proposes an in-memory, distributed computing framework, ClimateSpark, to facilitate complex big data analytics and time-consuming computational tasks…”
Get full text

The Sixth Distributed Memory Computing Conference proceedings : April 28-May 1, 1991, Portland, Oregon by Distributed Memory Computing Conference (6th : 1991 : Portland, Or.), Stout, Quentin F., Wolfe, Michael Joseph, Ames Research Center

Get full text

Large-Scale Merging of Histograms using Distributed In-Memory Computing by Blomer, Jakob, Ganis, Gerardo

“… Currently, the merging of output histograms scales badly. The running time for distributed merging depends not only on the overall number of bins but also on the number partial histogram output files…”
Get full text

Selective Update for Hardware‐Friendly On‐Chip Training in Distributed Analog In‐Memory Computing Systems by Kang, Jaehyeon, Hong, Sangjun, Kim, Sangwook, Kim, Sangbum

“…Analog in‐memory computing (AiMC) significantly enhances computational efficiency for artificial neural networks by performing computations within memory…”
Get full text

In-Memory Computing Architectures for Sparse Distributed Memory by Mingu Kang, Shanbhag, Naresh R.

“…This paper presents an energy-efficient and high-throughput architecture for Sparse Distributed Memory (SDM…”
Get full text

Research on Join Operation of Temporal Big Data in Distributed Environment by ZHANG Wei,WANG Zhijie

“…Distributed system is an ideal choice for processing temporal large data join operation,but the existing distributed system cannot support the original temporal join query and cannot meet…”
Get full text

Distributed memory parallel computing of three-dimensional variable-density groundwater flow and salt transport by Verkaik, J., van Engelen, J., Huizer, S., Bierkens, M.F.P., Lin, H.X., Oude Essink, G.H.P.

“…•SEAWAT is parallelized using a MPI distributed memory approach.•Huge 3D SEAWAT models are now feasible for a wide range of users…”
Get full text

Adaptive message passing polling for energy efficiency: Application to software‐distributed shared memory over heterogeneous computing resources by Cudennec, Loïc

“…‐performance embedded computing (HPEC) applications can benefit from the reuse of code coming from the high…”
Get full text

Runtime support for CPU-GPU high-performance computing on distributed memory platforms by Thomadakis, Polykarpos, Chrisochoides, Nikos

Get full text

A massively parallel implicit 3D unstructured grid solver for computing turbulent flows on latest distributed memory computational architectures by Nived, M.R., Eswaran, Vinayak

“…An implicit unstructured grid density-based solver–PRAVAHA based on a parallel variant of the lower upper symmetric Gauss-Seidel (LUSGS) method is developed to…”
Get full text

Power and limits of distributed computing shared memory models by Herlihy, Maurice, Rajsbaum, Sergio, Raynal, Michel

“… Considering a canonical distributed system model, where processes execute asynchronously, communicate by reading and writing shared memory, and fail by crashing, this paper surveys important results…”
Get full text

Optimization Techniques for a Distributed In-Memory Computing Platform by Leveraging SSD by Choi, June, Lee, Jaehyun, Kim, Jik-Soo, Lee, Jaehwan

“…In this paper, we present several optimization strategies that can improve the overall performance of the distributed in-memory computing system, “Apache Spark…”
Get full text

Level-set topology optimisation with unfitted finite elements and automatic shape differentiation by Wegert, Zachary J., Manyer, Jordi, Mallon, Connor N., Badia, Santiago, Challis, Vivien J.

“…•We present a general serial/memory-distributed implementation of level-set topology optimisation using unfitted finite elements and automatic shape differentiation…”
Get full text

Special Issue of the Journal of Parallel and Distributed Computing: Transactional Memory by Grahn, Håkan

Get full text

Design and implementation of reconfigurable acceleration for in-memory distributed big data computing by Hou, Junjie, Zhu, Yongxin, Du, Sen, Song, Shijin

“…Apache Spark is an efficient distributed computing framework for big data processing…”
Get full text

An object-oriented parallel programming language for distributed-memory parallel computing platforms by Pinho, Eduardo Gurgel, de Carvalho, Francisco Heron

“… However, distributed-memory parallelism tends to break modularity, encapsulation, and the functional independence of objects, since parallel computations cannot be encapsulated in individual objects…”
Get full text

A mathematical model to calculate real cost/performance in software distributed shared memory on computing environments by Khaneghah, Ehsan Mousavi, Shadnoush, Nosratollah, Ghobakhlou, Amir Hossein

“…One of the important factors in high-performance computing (HPC) is the cost/performance ratio…”
Get full text

OPC: A Distributed Computing and Memory Computing-Based Effective Solution of Big Data by Zhi Yang, Chunping Zhang, Mu Hu, Feng Lin

“… How to compute efficiently on the Big Data is the key of improving performance. By means of distributed computing or memory computing, many companies and institutions provide some technologies and produces…”
Get full text

Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing by Wozniak, Justin M., Armstrong, Timothy G., Maheshwari, Ketan C., Katz, Daniel S., Wilde, Michael, Foster, Ian T.

“…Scripting languages such as Python and R have been widely adopted as tools for the productive development of scientific software because of the power and…”
Get full text

Load Balancing Scheme for Effectively Supporting Distributed In-Memory Based Computing by Bok, Kyoungsoo, Choi, Kitae, Choi, Dojin, Lim, Jongtae, Yoo, Jaesoo

“…As digital data have increased exponentially due to an increasing number of information channels that create and distribute the data, distributed in-memory systems were introduced to process big data in real-time…”
Get full text