Results 51 to 60 of about 1,012 (185)
Pydidas: a tool for automated X‐ray diffraction data analysis
Journal of Applied Crystallography, Volume 58, Issue 4, Page 1476-1485, August 2025.Pydidas is a new Python package for processing X‐ray diffraction data, offering a user‐friendly interface and versatile processing options. It includes a graphical user interface for the entire data processing pipeline and is intended to be easily accessible for non‐experts.The processing and analysis of X‐ray diffraction (XRD) data at synchrotrons is ...
Malte Storm +2 more
wiley +1 more source
Parallelisation of equation-based simulation programs on heterogeneous computing systems [PDF]
PeerJ Computer Science, 2018 Numerical solutions of equation-based simulations require computationally intensive tasks such as evaluation of model equations, linear algebra operations and solution of systems of linear equations.
Dragan D. Nikolić
doaj +2 more sources
Leveraging SYCL for Heterogeneous cDTW Computation on CPU, GPU, and FPGA
Concurrency and Computation: Practice and Experience, Volume 37, Issue 15-17, 25 July 2025.ABSTRACT One of the most time‐consuming kernels of a recent epileptic seizure detection application is the computation of the constrained Dynamic Time Warping (cDTW) Distance Matrix. In this paper, we explore the design space of heterogeneous CPU, GPU, and FPGA implementations of this kernel using SYCL as a programming model. First, we optimize the CPU
Cristian Campos +3 more
wiley +1 more source
International Journal of Reconfigurable Computing, 2019 Solving diagonally dominant tridiagonal linear systems is a common problem in scientific high-performance computing (HPC). Furthermore, it is becoming more commonplace for HPC platforms to utilise a heterogeneous combination of computing devices.
Hamish J. Macintosh +2 more
doaj +1 more source
The IMAGE beamline at the KIT Light Source
Journal of Synchrotron Radiation, Volume 32, Issue 4, Page 1036-1051, July 2025.The superconducting wiggler beamline IMAGE at the KIT Light Source, dedicated to full‐field hard X‐ray imaging applications in materials and life sciences, with a focus on high‐throughput computed tomography, laminography experiments and systematic in situ and operando studies, is described.The superconducting wiggler beamline IMAGE at the KIT Light ...
Angelica Cecilia +14 more
wiley +1 more source
Challenges of the Knowledge Society, 2012 Since the first idea of using GPU to general purpose computing, things have evolved over the years and now there are several approaches to GPU programming. GPU computing practically began with the introduction of CUDA (Compute Unified Device Architecture)
BOGDAN OANCEA +2 more
doaj
Research on OpenCL optimization for FPGA deep learning application.
PLoS ONE, 2019 In recent years, with the development of computer science, deep learning is held as competent enough to solve the problem of inference and learning in high dimensional space.
Shuo Zhang +4 more
doaj +1 more source
Stencil Computations on AMD and Nvidia Graphics Processors: Performance and Tuning Strategies
Concurrency and Computation: Practice and Experience, Volume 37, Issue 12-14, 25 June 2025.ABSTRACT Over the last ten years, graphics processors have become the de facto accelerator for data‐parallel tasks in various branches of high‐performance computing, including machine learning and computational sciences. However, with the recent introduction of AMD‐manufactured graphics processors to the world's fastest supercomputers, tuning ...
Johannes Pekkilä +3 more
wiley +1 more source
Analyzing Use of OpenCL on the Cell Broadband Engine and a Proposal for OpenCL Extensions
International Journal of Networking and Computing, 2011 Current processor architectures are diverse and heterogeneous. Examples include multicore chips, GPUs and the Cell Broadband Engine (CBE). The recent Open Compute Language (OpenCL) standard aims at efficiency and portability. This paper explores its efficiency when implemented on the CBE, without using CBE-specific features such as explicit ...
Breitbart, Jens, Fohry, Claudia
openaire +3 more sources
A Python package for fast GPU‐based proton pencil beam dose calculation
Journal of Applied Clinical Medical Physics, Volume 26, Issue 6, June 2025.Abstract Purpose Open‐source GPU‐based Monte Carlo (MC) proton dose calculation algorithms provide high speed and unparalleled accuracy but can be complex to integrate with new applications and remain slower than GPU‐based pencil beam (PB) methods, which sacrifice some physical accuracy for sub‐second plan calculation.
Mahasweta Bhattacharya +4 more
wiley +1 more source