6 citations · 8 across the 9 of their papers we have counts for
11 papers
Icicle: Scalable Metadata Indexing and Real-Time Monitoring for HPC File Systems
Haochen Pan, Ryan Chard, Song Young Oh +7
Modern HPC file systems can contain billions of files and hundreds of petabytes of data, making even simple questions increasingly intractable to answer. Traditional file system ut…
Performance comparison of Dask and Apache Spark on HPC systems for Neuroimaging
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
The general increase in data size and data sharing motivates the adoption of Big Data strategies in several scientific disciplines. However, while several options are available, no…
Hierarchical storage management in user space for neuroimaging applications
Valérie Hayot-Sasson, Tristan Glatard
Neuroimaging open-data initiatives have led to increased availability of large scientific datasets. While these datasets are shifting the processing bottleneck from compute-intensi…
Sea: A lightweight data-placement library for Big Data scientific computing
Valérie Hayot-Sasson, Mathieu Dugré, Tristan Glatard
The recent influx of open scientific data has contributed to the transitioning of scientific computing from compute intensive to data intensive. Whereas many Big Data frameworks ex…
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows
Valerie Hayot-Sasson, Tristan Glatard, Ariel Rokem
To support the growing demands of neuroscience applications, researchers are transitioning to cloud computing for its scalable, robust and elastic infrastructure. Nevertheless, lar…
Modeling the Linux page cache for accurate simulation of data-intensive applications
Hoang-Dung Do, Valerie Hayot-Sasson, Rafael Ferreira da Silva +3
The emergence of Big Data in recent years has resulted in a growing need for efficient data processing solutions. While infrastructures with sufficient compute power are available,…
Performance benefits of Intel(R) OptaneTM DC persistent memory for the parallel processing of large neuroimaging data
Valerie Hayot-Sasson, Shawn T Brown, Tristan Glatard
Open-access neuroimaging datasets have reached petabyte scale, and continue to grow. The ability to leverage the entirety of these datasets is limited to a restricted number of lab…
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
In the past few years, neuroimaging has entered the Big Data era due to the joint increase in image resolution, data sharing, and study sizes. However, no particular Big Data engin…
Evaluation of pilot jobs for Apache Spark applications on HPC clusters
Valerie Hayot-Sasson, Tristan Glatard
Big Data has become prominent throughout many scientific fields and, as a result, scientific communities have sought out Big Data frameworks to accelerate the processing of their i…
Performance Evaluation of Big Data Processing Strategies for Neuroimaging
Valérie Hayot-Sasson, Shawn T Brown, Tristan Glatard
Neuroimaging datasets are rapidly growing in size as a result of advancements in image acquisition methods, open-science and data sharing. However, the adoption of Big Data process…
Boutiques: a flexible framework for automated application integration in computing platforms
Tristan Glatard, Gregory Kiar, Tristan Aumentado-Armstrong +17
We present Boutiques, a system to automatically publish, integrate and execute applications across computational platforms. Boutiques applications are installed through software co…