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Seiji Tsuboi

dblp:43/6332 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2011
0000-0003-3422-6879ORCID · corroborated

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

Systems, architecture and hardware · 2

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
2 papers
Distributed systems · 59% Storage systems · 26% High-performance computing · 15%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems › fault tolerance
checkpointing
0.112011
FTI: high performance fault tolerance interface for hybrid systems · SC 2011
Distributed systems
fault tolerance
0.112011
FTI: high performance fault tolerance interface for hybrid systems · SC 2011
Distributed systems › fault tolerance › checkpointing
multi-level checkpointing
0.112011
FTI: high performance fault tolerance interface for hybrid systems · SC 2011
Storage systems › data representation › data encoding › error correction coding
reed-solomon codes
0.112011
FTI: high performance fault tolerance interface for hybrid systems · SC 2011
High-performance computing › scientific computing systems
earthquake simulation
0.012003
A 14.6 billion degrees of freedom, 5 teraflops, 2.5 terabyte earthquake simulation on the Earth Simulator · SC 2003
High-performance computing › finite element method
spectral-element method
0.012003
A 14.6 billion degrees of freedom, 5 teraflops, 2.5 terabyte earthquake simulation on the Earth Simulator · SC 2003
Storage systems
storage reliability
0.012011
FTI: high performance fault tolerance interface for hybrid systems · SC 2011
High-performance computing
large-scale simulation
0.012003
A 14.6 billion degrees of freedom, 5 teraflops, 2.5 terabyte earthquake simulation on the Earth Simulator · SC 2003

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

topology-aware erasure coding · 0.1dedicated fault-tolerance thread · 0.1loop vectorization · 0.0MPI · 0.0
YearPublicationVenuePosition
2011 FTI: high performance fault tolerance interface for hybrid systems
abstract
Large scientific applications deployed on current petascale systems expend a significant amount of their execution time dumping checkpoint files to remote storage. New fault tolerant techniques will be critical to efficiently exploit post-petascale systems. In this work, we propose a low-overhead high-frequency multi-level checkpoint technique in which we integrate a highly-reliable topology-aware Reed-Solomon encoding in a three-level checkpoint scheme. We efficiently hide the encoding time using one Fault-Tolerance dedicated thread per node. We implement our technique in the Fault Tolerance Interface FTI. We evaluate the correctness of our performance model and conduct a study of the reliability of our library. To demonstrate the performance of FTI, we present a case study of the Mw9.0 Tohoku Japan earthquake simulation with SPECFEM3D on TSUBAME2.0. We demonstrate a checkpoint overhead as low as 8% on sustained 0.1 petaflops runs (1152 GPUs) while checkpointing at high frequency.
Leonardo Arturo Bautista-Gomez, Seiji Tsuboi, Dimitri Komatitsch, Franck Cappello, Naoya Maruyama, Satoshi Matsuoka
SC2
2003 A 14.6 billion degrees of freedom, 5 teraflops, 2.5 terabyte earthquake simulation on the Earth Simulator
abstract
We use 1944 processors of the Earth Simulator to model seismic wave propagation resulting from large earthquakes. Simulations are conducted based upon the spectral-element method, a high-degree finite-element technique with an exactly diagonal mass matrix. We use a very large mesh with 5.5 billion grid points (14.6 billion degrees of freedom). We include the full complexity of the Earth, i.e., a three-dimensional wave-speed and density structure, a 3-D crustal model, ellipticity as well as topography and bathymetry. A total of 2.5 terabytes of memory is needed. Our implementation is purely based upon MPI, with loop vectorization on each processor. We obtain an excellent vectorization ratio of 99.3%, and we reach a performance of 5 teraflops (30% of the peak performance) on 38% of the machine. The very high resolution of the mesh allows us to perform fully three-dimensional calculations at seismic periods as low as 5 seconds.
Dimitri Komatitsch, Seiji Tsuboi, Jeroen Tromp
SC2