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LACIO: A new collective I/O strategy for parallel I/O systems
Parallel applications benefit considerably from the rapid advance of processor architectures
and the available massive computational capability, but their performance suffers from large …
and the available massive computational capability, but their performance suffers from large …
Design and evaluation of multiple-level data staging for blue gene systems
Parallel applications currently suffer from a significant imbalance between computational
power and available I/O bandwidth. Additionally, the hierarchical organization of current …
power and available I/O bandwidth. Additionally, the hierarchical organization of current …
Delegation-based I/O mechanism for high performance computing systems
Massively parallel applications often require periodic data checkpointing for program restart
and post-run data analysis. Although high performance computing systems provide massive …
and post-run data analysis. Although high performance computing systems provide massive …
A new data sieving approach for high performance I/O
Many scientific computing applications and engineering simulations exhibit noncontiguous
I/O access patterns. Data sieving is an important technique to improve the performance of …
I/O access patterns. Data sieving is an important technique to improve the performance of …
A decoupled execution paradigm for data-intensive high-end computing
High-end computing (HEC) applications in critical areas of science and technology tend to
be more and more data intensive. I/O has become a vital performance bottleneck of modern …
be more and more data intensive. I/O has become a vital performance bottleneck of modern …
Ebitsim: An enhanced bittorrent simulation using omnet++ 4
The BitTorrent protocol is one of the most successful P2P applications, being largely studied
by the research community. Nevertheless, studying the dynamics of a large BitTorrent …
by the research community. Nevertheless, studying the dynamics of a large BitTorrent …
Performance model-directed data sieving for high-performance I/O
Many scientific computing applications and engineering simulations exhibit noncontiguous
I/O access patterns. Data sieving is an important technique to improve the performance of …
I/O access patterns. Data sieving is an important technique to improve the performance of …
Decoupled I/O for data-intensive high performance computing
The I/O bottleneck issue has been acknowledged as one of main performance issues of high
performance computing (HPC) systems for data-intensive scientific applications, and has …
performance computing (HPC) systems for data-intensive scientific applications, and has …
Collective input/output under memory constraints
Compared with current high-performance computing (HPC) systems, exascale systems are
expected to have much less memory per node, which can significantly reduce necessary …
expected to have much less memory per node, which can significantly reduce necessary …
Power saving-aware prefetching for SSD-based systems
Energy saving for computing systems has recently become an important and worrying need.
Energy demand has been increasing in many systems, especially in data centers and …
Energy demand has been increasing in many systems, especially in data centers and …