[图书][B] Tactile internet: With human-in-the-Loop
Tactile Internet with Human-in-the-Loop describes the change from the current Internet,
which focuses on the democratization of information independent of location or time, to the …
which focuses on the democratization of information independent of location or time, to the …
Exploring the role of machine learning in scientific workflows: Opportunities and challenges
In this survey, we discuss the challenges of executing scientific workflows as well as existing
Machine Learning (ML) techniques to alleviate those challenges. We provide the context …
Machine Learning (ML) techniques to alleviate those challenges. We provide the context …
Hermes: a heterogeneous-aware multi-tiered distributed I/O buffering system
Modern High-Performance Computing (HPC) systems are adding extra layers to the memory
and storage hierarchy named deep memory and storage hierarchy (DMSH), to increase I/O …
and storage hierarchy named deep memory and storage hierarchy (DMSH), to increase I/O …
Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources
T Peterka, D Bard, JC Bennett… - … Journal of High …, 2020 - journals.sagepub.com
In January 2019, the US Department of Energy, Office of Science program in Advanced
Scientific Computing Research, convened a workshop to identify priority research directions …
Scientific Computing Research, convened a workshop to identify priority research directions …
ExaHDF5: Delivering efficient parallel I/O on exascale computing systems
Scientific applications at exascale generate and analyze massive amounts of data. A critical
requirement of these applications is the capability to access and manage this data efficiently …
requirement of these applications is the capability to access and manage this data efficiently …
Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows
Data staging and in-situ workflows are being explored extensively as an approach to
address data-related costs at very large scales. However, the impact of emerging storage …
address data-related costs at very large scales. However, the impact of emerging storage …
Ad hoc file systems for high-performance computing
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 …
while newer and faster storage technologies such as flash-based SSDs or non-volatile …
Efficient user-level storage disaggregation for deep learning
On large-scale high performance computing (HPC) systems, applications are provisioned
with aggregated resources to meet their peak demands for brief periods. This results in …
with aggregated resources to meet their peak demands for brief periods. This results in …
Recorder 2.0: Efficient parallel I/O tracing and analysis
Recorder is a multi-level I/O tracing tool that captures HDF5, MPI-I/O, and POSIX I/O calls. In
this paper, we present a new version of Recorder that adds support for most metadata …
this paper, we present a new version of Recorder that adds support for most metadata …
Transparent asynchronous parallel I/O using background threads
Moving toward exascale computing, the size of data stored and accessed by applications is
ever increasing. However, traditional disk-based storage has not seen improvements that …
ever increasing. However, traditional disk-based storage has not seen improvements that …