5 citations · 11 across the 9 of their papers we have counts for
9 papers
Design and Implementation of an Analysis Pipeline for Heterogeneous Data
Arup Kumar Sarker, Aymen Alsaadi, Niranda Perera +8
Managing and preparing complex data for deep learning, a prevalent approach in large-scale data science can be challenging. Data transfer for model training also presents difficult…
Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows
Ozgur Ozan Kilic, Tianle Wang, Matteo Turilli +4
Workflows are critical for scientific discovery. However, the sophistication, heterogeneity, and scale of workflows make building, testing, and optimizing them increasingly challen…
A Conceptual Architecture for a Quantum-HPC Middleware
Nishant Saurabh, Shantenu Jha, Andre Luckow
Quantum computing promises potential for science and industry by solving certain computationally complex problems faster than classical computers. Quantum computing systems evolved…
RAPTOR: Ravenous Throughput Computing
Andre Merzky, Matteo Turilli, Shantenu Jha
We describe the design, implementation and performance of the RADICAL-Pilot task overlay (RAPTOR). RAPTOR enables the execution of heterogeneous tasks -- i.e., functions and execut…
The Ghost of Performance Reproducibility Past
Srinivasan Ramesh, Mikhail Titov, Matteo Turilli +2
The importance of ensemble computing is well established. However, executing ensembles at scale introduces interesting performance fluctuations that have not been well investigated…
AI-coupled HPC Workflows
Shantenu Jha, Vincent R. Pascuzzi, Matteo Turilli
Increasingly, scientific discovery requires sophisticated and scalable workflows. Workflows have become the ``new applications,'' wherein multi-scale computing campaigns comprise m…