A general model for head and neck auto-segmentation with patient pre-treatment imaging during adaptive radiation therapy. [PDF]
Abstract Background During head and neck (HN) radiation therapy, patients may undergo anatomical changes due to tumor shrinkage or weight loss. For these patients, adaptive radiation therapy (ART) is required to correct treatment plans and to ensure that the prescribed radiation dose is delivered to the tumor while minimizing dose to the surrounding ...
Clark B +4 more
europepmc +2 more sources
Saber: window-based hybrid stream processing for heterogeneous architectures [PDF]
Modern servers have become heterogeneous, often combining multicore CPUs with many-core GPGPUs. Such heterogeneous architectures have the potential to improve the performance of data-intensive stream processing applications, but they are not supported by
Costa, P +5 more
core +1 more source
myPresto/omegagene 2020: a molecular dynamics simulation engine for virtual-system coupled sampling
The molecular dynamics (MD) method is a promising approach for investigating the molecular mechanisms of microscopic phenomena. In particular, generalized ensemble MD methods can efficiently explore the conformational space with a rugged free-energy ...
Kota Kasahara +6 more
doaj +1 more source
Performance comparison of CPU and GPGPU calculations using three simple case studies [PDF]
In this work, we have prepared and analyzed three case studies comparing CPU and GPGPU calculations. After briefly introducing the topic of parallel programming by means of contemporary CPU and GPGPU technologies, we provide an overview of selected ...
Branislav Lipovsky, Slavomir Simonak
doaj +1 more source
This work is focused on the issue of job scheduling in a high performance computing systems. The goal is based on the analysis of scheduling models of tasks in grid and cloud, design and implementation of the simulator on the base of GPGPU. The simulator
Jarmila Skrinárová, Michal Povinsky
doaj +1 more source
Simulation of Skeletal Muscles in Real-Time with Parallel Computing in GPU
Modeling and simulation of the skeletal muscles are usually solved using the Finite Element method (FEM) which, although accurate, commonly needs a complex mesh and the solution is not processed in real-time. In this work, a meshfree model that simulates
Octavio Navarro-Hinojosa +1 more
doaj +1 more source
Fast Parallel Network Packet Filter System based on CUDA [PDF]
In recent years, with the rapid development of the network hardware and software, the network speed is enhanced to multi-gigabit. Network packet filtering is an important strategy of network security to avoid malicious attacks, and it is a computation ...
Che-Lun Hung, Shih-Wei Guo
doaj +1 more source
Algorithmic GPGPU memory optimization [PDF]
The performance of General-Purpose computation on Graphics Processing Units (GPGPU) is heavily dependent on the memory access behavior. In this paper, we present an algorithmic methodology to semi-automatically find the best mapping of memory accesses present in serial loop nest to underlying data-parallel architectures based on a comprehensive static ...
Byunghyun Jang, Minsu Choi, Kyung Ki Kim
openaire +1 more source
A GPU-based Monte Carlo model for water radiolysis under ultra-high dose rate irradiation: Development and validation with MPEXS2.1-DNA. [PDF]
Abstract Background FLASH radiotherapy using ultra‐high dose rates (UHDR, > 40 Gy/s) demonstrates significant healthy‐tissue sparing while maintaining tumor‐control effectiveness. However, the underlying mechanisms remain unclear, with hypotheses suggesting that reductions in reactive oxygen species (ROS) yields could contribute to the FLASH effect ...
Okada S +4 more
europepmc +2 more sources
Preemptive Thread Block Scheduling with Online Structural Runtime Prediction for Concurrent GPGPU Kernels [PDF]
Recent NVIDIA Graphics Processing Units (GPUs) can execute multiple kernels concurrently. On these GPUs, the thread block scheduler (TBS) uses the FIFO policy to schedule their thread blocks.
Govindarajan, R. +2 more
core +1 more source

