SUMMARY Applications running on leadership platforms are more and more bottlenecked by storage input/output (I/O). In an effort to combat the increasing disparity between I/O throughput and compute capability, we created Adaptable IO System (ADIOS) in 2005. Focusing on putting users first with a service oriented architecture, we combined cutting edge research into new I/O techniques with a design effort to create near optimal I/O methods. As a result, ADIOS provides the highest level of synchronous I/O performance for a number of mission critical applications at various Department of Energy Leadership Computing Facilities. Meanwhile ADIOS is leading the push for next generation techniques including staging and data processing pipelines. In ...
High performance computing (HPC) has crossed the Petaflop mark and is reaching the Exaflop range qui...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
. The solution of Grand Challenge Problems will require computations which are too large to fit in t...
High performance computing (HPC) has crossed the Petaflop mark and is reaching the Exaflop range qui...
Today’s top high performance computing systems run ap-plications with hundreds of thousands of proce...
Abstract—Current leadership-class machines suffer from a significant imbalance between their computa...
The increasing number of cores per node has propelled the performance of leadershipscale systems fro...
Parallel and distributed computing have matured sufficiently for their adoption in production enviro...
We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2 addresses...
Abstract—Current leadership-class machines suffer from a significant imbalance between their increas...
Two key changes are driving an immediate need for deeper understanding of I/O workloads in high-perf...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
Getting good I/O performance from parallel programs is a critical problem for many application domai...
Traditionally storage has not been part of a programming model’s semantics and is added only as an I...
The I/O subsystems of high performance computing installations tend to be very system specific. Ther...
High performance computing (HPC) has crossed the Petaflop mark and is reaching the Exaflop range qui...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
. The solution of Grand Challenge Problems will require computations which are too large to fit in t...
High performance computing (HPC) has crossed the Petaflop mark and is reaching the Exaflop range qui...
Today’s top high performance computing systems run ap-plications with hundreds of thousands of proce...
Abstract—Current leadership-class machines suffer from a significant imbalance between their computa...
The increasing number of cores per node has propelled the performance of leadershipscale systems fro...
Parallel and distributed computing have matured sufficiently for their adoption in production enviro...
We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2 addresses...
Abstract—Current leadership-class machines suffer from a significant imbalance between their increas...
Two key changes are driving an immediate need for deeper understanding of I/O workloads in high-perf...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
Getting good I/O performance from parallel programs is a critical problem for many application domai...
Traditionally storage has not been part of a programming model’s semantics and is added only as an I...
The I/O subsystems of high performance computing installations tend to be very system specific. Ther...
High performance computing (HPC) has crossed the Petaflop mark and is reaching the Exaflop range qui...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
. The solution of Grand Challenge Problems will require computations which are too large to fit in t...