Search Results - parallel programming environment CURA*

Leveling the Playing Field With AI: Special Olympics's Mary Davis by Ransbotham, Sam, Khodabandeh, Shervin

“…[...]we do that through using the power of sport and programming in other areas, like education that you mentioned, health, and leadership…”
Get full text

Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges by Zhao, Zhiming, Hellström, Margareta

“…This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20…”
Get full text

Cloud-enabled style-aware artwork composite recommendation based on correlation graph by Guo, Hongyuan, Anari, Maryam Saberi, Rezaee, Khosro

“…Recommending visually coherent and stylistically diverse sets of artworks is a challenging task in digital curation, interior design, and personalized visual content services…”
Get full text

RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor by Pallotta, Simone, Cascianelli, Silvia, Masseroli, Marco

“…Background Heterogeneous omics data, increasingly collected through high-throughput technologies, can contain hidden answers to very important and still…”
Get full text

Learning About and Over Networks: Optimized Designs for Network Tomography and Decentralized Learning by Chiu, Cho-Chun

“… Our four pieces of work focus on optimizing the designs of network tomography, data curation, and model…”
Get full text

GPU-accelerated algorithms for many-particle continuous-time quantum walks by Piccinini, Enrico, Benedetti, Claudia, Siloi, Ilaria, Paris, Matteo G.A., Bordone, Paolo

“… Hamiltonians containing stochastic terms. To this aim, we suggest a parallel algorithm based on the Taylor series expansion of the evolution operator, and compare its performances with those of algorithms based on the exact diagonalization…”
Get full text

MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline by Moon, Joseph, Bremer, Peer-Timo, Mukherjee, Pratik, Markowitz, Amy J, Palacios, Eva M, Rodriguez, Alexis, Xiao, Yuaki, Manley, Geoffrey T, Madduri, Ravi K

“… We developed MaPPeRTrac, a diffusion MRI tractography pipeline that simplifies and vastly accelerates this process on a wide range of high performance computing environments…”
Get full text

Role of High-Performance Computing in Deep Learning by Wickramasinghe, Pulasthi Supun

“… When considering real-world deep learning applications, most are comprised of two major stages. The first stage is data pre-processing and curation, and the second is model training and inference…”
Get full text

eWaterCycle II by Hut, Rolf, Drost, Niels, Van Hage, Willem, Van De Giesen, Nick

“… output to make claims on the global state of the hydrological cycle [1], [2]. Parallel to this development…”
Get full text

Evaluating Hadoop for Data-Intensive Scientific Operations by Fadika, Z., Govindaraju, M., Canon, R., Ramakrishnan, L.

“…Emerging sensor networks, more capable instruments, and ever increasing simulation scales are generating data at a rate that exceeds our ability to effectively manage, curate, analyze, and share…”
Get full text