output
19972026
most citedHigh-Pressure Synthesis of Magnetic Neodymium Polyhydrides

106 citations

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6 papers · 1 filter

cs.DC2026

Optimising Blockchain Scalability for Real-Time IoT Applications

Hasan Mahmud Rhidoy, Mahdi H. Miraz, Iftekhar Salam

The convergence of blockchain and the Internet of Things (IoT) enables secure, decentralised, and verifiable data exchange across distributed smart environments. However, tradition…

cs.DC2025★ 1 cited

Closing a Source Complexity Gap between Chapel and HPX

Shreyas Atre, Chris Taylor, Patrick Diehl +1

A previous case study measured performance vs source-code complexity across multiple languages. The case study identified Chapel and HPX provide similar performance and code comple…

cs.DC2018★ 18 cited

FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning

Zhao Zhang, Lei Huang, Uri Manor +5

Emerging Deep Learning (DL) applications introduce heavy I/O workloads on computer clusters. The inherent long lasting, repeated, and random file access pattern can easily saturate…

cs.DC2018

Adaptive parallelism with RMI: Idle high-performance computing resources can be completely avoided

Florian Spenke, Karsten Balzer, Sascha Frick +2

In practice, standard scheduling of parallel computing jobs almost always leaves significant portions of the available hardware unused, even with many jobs still waiting in the que…

cs.DC2015★ 28 cited

DART-MPI: An MPI-based Implementation of a PGAS Runtime System

Huan Zhou, Yousri Mhedheb, Kamran Idrees +4

A Partitioned Global Address Space (PGAS) approach treats a distributed system as if the memory were shared on a global level. Given such a global view on memory, the user may prog…

cs.DC2014

Avoiding Serialization Effects in Data-Dependency aware Task Parallel Algorithms for Spatial Decomposition

Christoph Niethammer, Colin W. Glass, Jose Gracia

Spatial decomposition is a popular basis for parallelising code. Cast in the frame of task parallelism, calculations on a spatial domain can be treated as a task. If neighbouring d…