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Výkonové testování intrusního detekčního systému s využitím technologie CUDA
, 2016 Radek Mandrla
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Částicový systém implementovaný pomocí technologie CUDA
, 2013 Karel Konupčík
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CUDA Quantum: The Platform for Integrated Quantum-Classical Computing
Design Automation Conference, 2023A critical challenge to making quantum computers work in practice is effectively combining them with classical computing resources. From the classical side of hybrid algorithms and integrated application workflows to decoding syndromes for quantum error ...
Jin-Sung Kim +5 more
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Experiences Migrating CUDA to SYCL: A Molecular Docking Case Study
International Workshop on OpenCL, 2023In recent years, Intel introduced oneAPI as a unified and cross-architecture programming model based on the Data Parallel C++ (DPC++) language, which in turn, is based on the C++ and SYCL standard languages. In order to facilitate the migration of legacy
Leonardo Solis-Vasquez +2 more
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The international journal of high performance computing applications, 2021
Classical molecular dynamics (MD) calculations represent a significant part of the utilization time of high-performance computing systems. As usual, the efficiency of such calculations is based on an interplay of software and hardware that are nowadays ...
N. Kondratyuk +3 more
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Classical molecular dynamics (MD) calculations represent a significant part of the utilization time of high-performance computing systems. As usual, the efficiency of such calculations is based on an interplay of software and hardware that are nowadays ...
N. Kondratyuk +3 more
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Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS
International Symposium on High-Performance Computer Architecture, 2022The proliferation of machine learning applications has promoted both CUDA Cores and Tensor Cores’ integration to meet their acceleration demands. While studies have shown that co-locating multiple tasks on the same GPU can effectively improve system ...
Han Zhao +7 more
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International Workshop on OpenCL, 2022
In scientific computing and Artificial Intelligence (AI), which both rely on massively parallel tasks, frameworks like the Compute Unified Device Architecture (CUDA) and the Open Computing Language (OpenCL) are widely used to harvest the computational ...
Marcel Breyer +2 more
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In scientific computing and Artificial Intelligence (AI), which both rely on massively parallel tasks, frameworks like the Compute Unified Device Architecture (CUDA) and the Open Computing Language (OpenCL) are widely used to harvest the computational ...
Marcel Breyer +2 more
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Migrating CUDA to oneAPI: A Smith-Waterman Case Study
International Work-Conference on Bioinformatics and Biomedical Engineering, 2022To face the programming challenges related to heterogeneous computing, Intel recently introduced oneAPI, a new programming environment that allows code developed in Data Parallel C++ (DPC++) language to be run on different devices such as CPUs, GPUs ...
Manuel Costanzo +4 more
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