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ARMCO: Advanced topics in resource management for ubiquitous cloud computing: An adaptive approach
Cloud Computing can be seen as one of the latest major evolution in computing offering
unlimited possibility to use ICT in various domains: business, smart cities, medicine …
unlimited possibility to use ICT in various domains: business, smart cities, medicine …
ONFS: a hierarchical hybrid file system based on memory, SSD, and HDD for high performance computers
X Liu, Y Lu, J Yu, P Wang, J Wu, Y Lu - Frontiers of Information …, 2017 - Springer
With supercomputers develo** towards exascale, the number of compute cores increases
dramatically, making more complex and larger-scale applications possible. The input/output …
dramatically, making more complex and larger-scale applications possible. The input/output …
The cavium 32 core octeon ii 68xx
RE Kessler - 2011 IEEE Hot Chips 23 Symposium (HCS), 2011 - ieeexplore.ieee.org
Presents a collection of slides covering the following topics: Cavium 32 core OCTEON II
68xx; power scalability; cache coherence; interconnect bandwidth; memory bandwidth; chip …
68xx; power scalability; cache coherence; interconnect bandwidth; memory bandwidth; chip …
Scalable in-memory computing
Data-intensive scientific workflows are composed of many tasks that exhibit data
precedence constraints leading to communication schemes expressed by means of …
precedence constraints leading to communication schemes expressed by means of …
MemEFS: an elastic in-memory runtime file system for escience applications
Data-intensive scientific workflows exhibit inter-task dependencies that generate file-based
communication schemes. In such scenarios, traditional disk-based storage systems often …
communication schemes. In such scenarios, traditional disk-based storage systems often …
MemEFS: A network-aware elastic in-memory runtime distributed file system
A Uta, O Danner, C van der Weegen… - Future Generation …, 2018 - Elsevier
Scientific domains such as astronomy or bioinformatics produce increasingly large amounts
of data that need to be analyzed. Such analyses are modeled as scientific workflows …
of data that need to be analyzed. Such analyses are modeled as scientific workflows …
A data-locality-aware task scheduler for distributed social graph queries
J **, J Luo, M Du, Y Dang, F Li, J Zhang… - Future Generation …, 2019 - Elsevier
For large-scale online social networks such as Facebook and Twitter, network analysis often
uses graph queries to extract network information. Because of the work and memory …
uses graph queries to extract network information. Because of the work and memory …
Towards resource disaggregation—Memory scavenging for scientific workloads
Compute clusters, consisting of many, uniformly built nodes, are used to run a large
spectrum of different workloads, like tightly coupled (MPI) jobs, MapReduce, or graph …
spectrum of different workloads, like tightly coupled (MPI) jobs, MapReduce, or graph …
masfs: File system based on memory and ssd in compute nodes for high performance computers
X Liu, Y Lu, Y Lu, C Wu, J Wu - 2016 IEEE 22nd International …, 2016 - ieeexplore.ieee.org
Hard Disk Drive (HDD) based storage systems in high performance computing (HPC), such
as Lustre, are being confronted with great challenges from massive parallel data-intensive …
as Lustre, are being confronted with great challenges from massive parallel data-intensive …
Distributed file system for rewriting Big Data files using a local-write protocol
EC Da Silva, LM Sato… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
With the exponential volume growth of the data available for scientific and commercial use,
more and more Big Data technologies are gaining focus and importance. Directly related to …
more and more Big Data technologies are gaining focus and importance. Directly related to …