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Carlos Thomaz

dblp:252/4598 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 33% Memory systems · 33% High-performance computing · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems › cache management › storage caching
client-side caching		 0.412019
LPCC: hierarchical persistent client caching for lustre · SC 2019
Storage systems › file systems › distributed file system
parallel file system		 0.412019
LPCC: hierarchical persistent client caching for lustre · SC 2019

Methods — techniques the papers use, named apart from their topics

SSD-based caching · 0.4
YearPublicationVenuePosition
2019 LPCC: hierarchical persistent client caching for lustre
abstract
Most high-performance computing (HPC) clusters use a global parallel file system to enable high data throughput. The parallel file system is typically centralized and its storage media are physically separated from the compute cluster. Compute nodes as clients of the parallel file system are often additionally equipped with SSDs. The node internal storage media are rarely well-integrated into the I/O and compute workflows. How to make full and flexible use of these storage media is therefore a valuable research question.
Yingjin Qian, Shuichi Ihara, Andreas Dilger, Carlos Thomaz, Wen Cheng 0003, Lingfang Zeng, Fang Wang 0001, Dan Feng 0001, Tim Süß, André Brinkmann
 SC5