Adaptable IO System (ADIOS)
--------------------------------------------------2012/07/28
"ADIOS Middleware Update Sets the Stage for Exascale Computing"
July 26, 2012, Oak Ridge Leadership Computing Facility
http://www.olcf.ornl.gov/2012/07/26/adios-middleware-update-sets-the-stage-for-exascale-computing/
"Researchers can multitask and access files simultaneously with version 1.4"
--------------------------------------------------
2012/07/21
1.4.0 Released July 2012
*) new read API for staging methods with step-by-step processing,
also with non-blocking and chunking APIs
*) visualization schema added to ADIOS XML format
*) skel: I/O skeleton generator and evaluation tools
*) unified error/debug logging
*) hidden attributes (version, create/update times)
*) Java and Numpy bindings
*) F90 modules adios_write_mod and adios_read_mod to check syntax
at compile time
--------------------------------------------------
Revision History
1.3 Released July 12, 2011
*)New read method BP_STAGED for reading files with improved performance
*)Changes in MPI_AMR and MPI_LUSTRE to support default parameters.
Parameters for MPI_LUSTRE and MPI_AMR in XML file are not mandatory
any more.
"ORNL ADIOS Team Releases Version 1.3 of Adaptive Input/Output System"
July 21, 2011, HPCwire
"What good are supercomputers if you have to spend your whole time
getting data in and out? Researchers at Oak Ridge National Laboratory
(ORNL) are working to say goodbye to input/output (I/O) problems
with their most recent upgrade of the Adaptive Input/Output System
(ADIOS)."
.....
"The open-source middleware is designed to help researchers maximize
their allocations on leadership-class computing resources from
wherever they may be. In essence, it creates more time for research
by minimizing the time needed to read and write data to files,
even if researchers are sending those files from thousands of miles
away."
.....
"The biggest challenge for the newest release - version 1.3 - was
to improve reading efficiency, according to Qing Liu, a scientific
researcher working in the Remote Data Analysis and Visualization
branch at the National Institute for Computational Sciences and
the leading developer of ADIOS."
"As Supercomputers Approach Exascale, Experts Wrestle with Big Data"
July 21, 2011, Dawn Levy, OLCF science writer, for HPCwire
http://www.hpcwire.com/hpcwire/2011-07-21/as_supercomputers_approach_exascale,_experts_wrestle_with_big_data.html
"The Oak Ridge Leadership Computing Facility (OLCF) plans on delivering
a system with peak performance of 10?20 petaflops at Oak Ridge National
Laboratory (ORNL) in 2012. This system will begin the OLCF's transitionfrom
petaflop to exaflop computing this decade. Providing an environment
that balances computational speed, memory bandwidth, and the input/output
of data - so no aspect bottlenecks the performance of scientific
applications - will require dramatic advances in parallel I/O capabilities.
These high performance computing systems will generate unprecedented
amounts of data - and unprecedented challenges in managing it.
In this interview, Galen Shipman, who heads OLCF's Technology Integration
group, discusses the challenges of managing big data. Shipman's group is
charged with integrating advanced technologies in the areas of networks,
file systems, and archival storage infrastructures into the OLCF's HPC
systems, such as Jaguar, a 2.33-petaflop Cray XT funded by the Department
of Energy Office of Science."
==================================================
"As Supercomputers Approach Exascale, Experts Wrestle with Big Data"
July 21, 2011, Dawn Levy, OLCF science writer, for HPCwire
http://www.hpcwire.com/hpcwire/2011-07-21/as_supercomputers_approach_exascale,_experts_wrestle_with_big_data.html
"The Oak Ridge Leadership Computing Facility (OLCF) plans on delivering
a system with peak performance of 10?20 petaflops at Oak Ridge National
Laboratory (ORNL) in 2012. This system will begin the OLCF's transitionfrom
petaflop to exaflop computing this decade. Providing an environment
that balances computational speed, memory bandwidth, and the input/output
of data - so no aspect bottlenecks the performance of scientific
applications - will require dramatic advances in parallel I/O capabilities.
These high performance computing systems will generate unprecedented
amounts of data - and unprecedented challenges in managing it.
In this interview, Galen Shipman, who heads OLCF's Technology Integration
group, discusses the challenges of managing big data. Shipman's group is
charged with integrating advanced technologies in the areas of networks,
file systems, and archival storage infrastructures into the OLCF's HPC
systems, such as Jaguar, a 2.33-petaflop Cray XT funded by the Department
of Energy Office of Science."
==================================================
Date: Sun, 28 Nov 2010 06:42:20 +0900
[san-tech][03150] 講演資料：2011 US DOE Computer Graphics Forum (2011/04/26 - 29)
Date: Sun, 05 Jun 2011 05:54:48 +0900
Date: Sun, 05 Jun 2011 05:54:48 +0900
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