Resilience is a major roadblock for HPC executions on future exascale systems. These
systems will typically gather millions of CPU cores running up to a billion threads …

The next generation of supercomputers will break the exascale barrier. Soon we will have
systems capable of at least one quintillion (billion billion) floating-point operations per …

The increasing amount of data that needs to be collected and analyzed requires large-scale
datacenter architectures that are naturally more susceptible to faults of single components …

Many tools and techniques have been developed to address specific aspects of interacting
in a virtual world. Few have been designed with an architecture that allows large numbers of …

The scale of high performance computing (HPC) systems is exponentially growing,
potentially causing prohibitive shrinkage of mean time between failures (MTBF) while the …

Continuing increase in the computational power of supercomputers has enabled large-scale
scientific applications in the areas of astrophysics, fusion, climate and combustion to run …

This paper presents a novel disk storage architecture called DCD, Disk Caching Disk, for the
purpose of optimizing I/O performance. The main idea of the DCD is to use a small log disk …

The performance of Deep-Learning (DL) computing frameworks rely on the performance of
data ingestion and checkpointing. In fact, during the training, a considerable high number of …

Checkpoint/Restart is an indispensable fault tolerance technique commonly used by high-
performance computing applications that run continuously for hours or days at a time …

With the massive scale of high-performance computing systems, long-running scientific
parallel applications periodically save the state of their execution to files called checkpoints …