Omnisc'io: a grammar-based approach to spatial and temporal i/o patterns prediction
The increasing gap between the computation performance of post-petascale machines and
the performance of their I/O subsystem has motivated many I/O optimizations including …
the performance of their I/O subsystem has motivated many I/O optimizations including …
Clarisse: A middleware for data-staging coordination and control on large-scale hpc platforms
On current large-scale HPC platforms the data path from compute nodes to final storage
passes through several networks interconnecting a distributed hierarchy of nodes serving as …
passes through several networks interconnecting a distributed hierarchy of nodes serving as …
Fault tolerance for remote memory access programming models
Remote Memory Access (RMA) is an emerging mechanism for programming high-
performance computers and datacenters. However, little work exists on resilience schemes …
performance computers and datacenters. However, little work exists on resilience schemes …
DAOS for extreme-scale systems in scientific applications
MS Breitenfeld, N Fortner, J Henderson… - arXiv preprint arXiv …, 2017 - arxiv.org
Exascale I/O initiatives will require new and fully integrated I/O models which are capable of
providing straightforward functionality, fault tolerance and efficiency. One solution is the …
providing straightforward functionality, fault tolerance and efficiency. One solution is the …
Using formal grammars to predict I/O behaviors in HPC: The omnisc'IO approach
The increasing gap between the computation performance of post-petascale machines and
the performance of their I/O subsystem has motivated many I/O optimizations including …
the performance of their I/O subsystem has motivated many I/O optimizations including …
Hercules: scalable and network portable in-memory ad-hoc file system for data-centric and high-performance applications
J Garcia-Blas, G Sanchez-Gallegos, C Petre… - … Conference on Parallel …, 2023 - Springer
The growing demands for data processing by new data-intensive applications are putting
pressure on the performance and capacity of HPC storage systems. The advancement in …
pressure on the performance and capacity of HPC storage systems. The advancement in …
IMSS: in-memory storage system for data intensive applications
Computer applications are growing in terms of data management requirements. In both
scientific and engineering domains, high-performance computing clusters tend to …
scientific and engineering domains, high-performance computing clusters tend to …
Malleable and Adaptive Ad-Hoc File System for Data Intensive Workloads in HPC Applications
G Sanchez-Gallegos, J Garcia-Blas, C Petre… - … Conference on High …, 2023 - Springer
Advancement in storage technologies, such as NVMe and persistent memory, enables the
acceleration of I/O operations in HPC systems. However, relying solely on ultra-fast storage …
acceleration of I/O operations in HPC systems. However, relying solely on ultra-fast storage …
Adaptive multi-tier intelligent data manager for Exascale
The main objective of the ADMIRE project1 is the creation of an active I/O stack that
dynamically adjusts computation and storage requirements through intelligent global …
dynamically adjusts computation and storage requirements through intelligent global …
In-memory integration of existing software components for parallel adaptive unstructured mesh workflows
Reliable mesh-based simulations are needed to solve complex engineering problems.
Mesh adaptivity can increase reliability by reducing discretization errors, but requires …
Mesh adaptivity can increase reliability by reducing discretization errors, but requires …