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20082022
most citedHyperProv: Decentralized Resilient Data Provenance at the Edge with Blockchains

6 citations · 20 across the 13 of their papers we have counts for

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cs.DC2022

High-performance computing for super-resolution microscopy on a cluster of computers

Quan Do, Jon Ivar Kristiansen, Krishna Agarwal +1

Multiple signal classification algorithm (MUSICAL) provides a super-resolution microscopy method. In the previous research, MUSICAL has enabled data-parallelism well on a desktop c…

cs.DC2021

A Newcomer In The PGAS World -- UPC++ vs UPC: A Comparative Study

Jérémie Lagravière, Johannes Langguth, Martina Prugger +2

A newcomer in the Partitioned Global Address Space (PGAS) 'world' has arrived in its version 1.0: Unified Parallel C++ (UPC++). UPC++ targets distributed data structures where comm…

cs.DC2019★ 1 cited

Performance optimization and modeling of fine-grained irregular communication in UPC

Jérémie Lagravière, Johannes Langguth, Martina Prugger +3

The UPC programming language offers parallelism via logically partitioned shared memory, which typically spans physically disjoint memory sub-systems. One convenient feature of UPC…

cs.DC2019★ 4 cited

On the Performance and Energy Efficiency of the PGAS Programming Model on Multicore Architectures

Jérémie Lagravière, Johannes Langguth, Mohammed Sourouri +2

Using large-scale multicore systems to get the maximum performance and energy efficiency with manageable programmability is a major challenge. The partitioned global address space…

cs.DC2019★ 6 cited

HyperProv: Decentralized Resilient Data Provenance at the Edge with Blockchains

Petter Tunstad, Amin M. Khan, Phuong Hoai Ha

Data provenance and lineage are critical for ensuring integrity and reproducibility of information in research and application. This is particularly challenging for distributed sce…

cs.DC2018

D2.4 Report on the final prototype of programming abstractions for energy-efficient inter-process communication

Phuong Hoai Ha, Vi Ngoc-Nha Tran, Ibrahim Umar +5

Work package 2 (WP2) aims to develop libraries for energy-efficient inter-process communication and data sharing on the EXCESS platforms. The Deliverable D2.4 reports on the final…