Known challenges for petascale machines are that (1) the costs of I/O for high performance
applications can be substantial, especially for output tasks like checkpointing, and (2) noise …

Remote procedure call (RPC) is a technique that has been largely adopted by distributed
services. This technique, now more and more used in the context of high-performance …

Extreme Scale processors containing hundreds or even thousands of cores will challenge
current operating system (OS) practices. Many of the fundamental assumptions that underlie …

Storage backends of parallel compute clusters are still based mostly on magnetic disks,
while newer and faster storage technologies such as flash-based SSDs or non-volatile …

One of the most pressing issues with petascale analysis is the transport of simulation results
data to a meaningful analysis. Traditional workflow prescribes storing the simulation results …

As applications target extreme scales, data staging and in-situ/in-transit data processing
have been proposed to address the data challenges and improve scientific discovery …

The complexity of HPC systems has increased the burden on the developer as applications
scale to hundreds of thousands of processing cores. Moreover, additional efforts are …

Today's high-end massively parallel processing (MPP) machines have thousands to tens of
thousands of processors, with next-generation systems planned to have in excess of one …

Large scale scientific applications are often bottlenecked due to the writing of checkpoint-
restart data. Much work has been focused on improving their write performance. With the …

As system scales and application complexity grow, managing and processing simulation
data has become a significant challenge. While recent approaches based on data staging …