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 random access memory (NVRAM) are deployed within compute nodes. Including these new storage technologies into scientific workflows is unfortunately today a mostly manual task, and most scientists therefore do not take advantage of the faster storage media. One approach to systematically include nodelocal SSDs or NVRAMs into scientific workflows is to deploy ad hoc file systems over a set of compute nodes, which serve as temporary storage systems for single applications or longer-running campaigns. This paper presents results from the Dagstuhl Seminar 17202 “Challenges an...
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceHPC and Big Data stacks are completely separated today. The storage layer offe...
HPC applications executed in cluster environments often produce large quantities of data that need t...
Storage backends of parallel compute clusters are still based mostly on magnetic disks, while newer ...
Drawing parallels to the rise of general purpose graphical processing units (GPGPUs) as accelerators...
Distributed storage systems running on clusters of commodity hardware are challenged by the ever-gro...
The current demand on high-performance I/O is higher than ever and cannot afford to allow any unnece...
We present Nswap2L-FS, a fast, adaptable, and heterogeneous storage system for backing file data in ...
Many scientific fields increasingly use high-performance computing (HPC) to process and analyze mass...
Abstract: This paper proposes an extension of the traditional active disk concept by applying it to ...
We present GekkoFS, a temporary, highly-scalable burst buffer file system which has been specificall...
With the massive decrease in hardware costs over the last few years, the popularity of Beowulf Clust...
Modern science has available to it, and is more productively pursued with, massive amounts of data, ...
We present the design, prototype implementation and initial evaluation of FedFS - a novel cluster fi...
The evolution of modern applications and storage technologies has created new challenges for file sy...
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceHPC and Big Data stacks are completely separated today. The storage layer offe...
HPC applications executed in cluster environments often produce large quantities of data that need t...
Storage backends of parallel compute clusters are still based mostly on magnetic disks, while newer ...
Drawing parallels to the rise of general purpose graphical processing units (GPGPUs) as accelerators...
Distributed storage systems running on clusters of commodity hardware are challenged by the ever-gro...
The current demand on high-performance I/O is higher than ever and cannot afford to allow any unnece...
We present Nswap2L-FS, a fast, adaptable, and heterogeneous storage system for backing file data in ...
Many scientific fields increasingly use high-performance computing (HPC) to process and analyze mass...
Abstract: This paper proposes an extension of the traditional active disk concept by applying it to ...
We present GekkoFS, a temporary, highly-scalable burst buffer file system which has been specificall...
With the massive decrease in hardware costs over the last few years, the popularity of Beowulf Clust...
Modern science has available to it, and is more productively pursued with, massive amounts of data, ...
We present the design, prototype implementation and initial evaluation of FedFS - a novel cluster fi...
The evolution of modern applications and storage technologies has created new challenges for file sy...
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceHPC and Big Data stacks are completely separated today. The storage layer offe...
HPC applications executed in cluster environments often produce large quantities of data that need t...