Search Results - "Computing methodologies → Massively parallel algorithms"

In Situ Workload Estimation for Block Assignment and Duplication in Parallelization‐Over‐Data Particle Advection by Wang, Zhe, Moreland, Kenneth, Larsen, Matthew, Kress, James, Childs, Hank, Li, Guan, Shan, Guihua, Pugmire, David

“…Particle advection is a foundational algorithm for analyzing a flow field. The commonly used Parallelization‐Over‐Data (POD) strategy for particle advection…”
Get full text

A Halfedge Refinement Rule for Parallel Catmull‐Clark Subdivision by Dupuy, J., Vanhoey, K.

“…We show that Catmull‐Clark subdivision induces an invariant one‐to‐four refinement rule for halfedges that reduces to simple algebraic expressions. This has…”
Get full text

On‐The‐Fly Tracking of Flame Surfaces for the Visual Analysis of Combustion Processes by Oster, T., Abdelsamie, A., Motejat, M., Gerrits, T., Rössl, C., Thévenin, D., Theisel, H.

“…The visual analysis of combustion processes is one of the challenges of modern flow visualization. In turbulent combustion research, the behaviour of the flame…”
Get full text

Montblanc11https://github.com/ska-sa/montblanc.: GPU accelerated radio interferometer measurement equations in support of Bayesian inference for radio observations by Perkins, S.J., Marais, P.C., Zwart, J.T.L., Natarajan, I., Tasse, C., Smirnov, O.

“…We present Montblanc, a GPU implementation of the Radio interferometer measurement equation (RIME) in support of the Bayesian inference for radio observations…”
Get full text

ANT-MOC: Scalable Neutral Particle Transport Using 3D Method of Characteristics on Multi-GPU Systems by Li, Shunde, Wang, Zongguo, Bu, Lingkun, Wang, Jue, Xin, Zhikuang, Li, Shigang, Wang, Yangang, Feng, Yangde, Shi, Peng, Hu, Yun, Chi, Xuebin

“…The Method Of Characteristic (MOC) to solve the Neutron Transport Equation (NTE) is the core of full-core simulation for reactors. High resolution is enabled…”
Get full text

Automatic Loop Invariant Generation for Data Dependence Analysis by Tabar, Asmae Heydari, Bubel, Richard, Hahnle, Reiner

“…Parallelization of programs relies on sound and precise analysis of data dependences in the code, specifically, when dealing with loops. State-of-art tools are…”
Get full text

Scaling deep learning on GPU and knights landing clusters by You, Yang, Buluç, Aydın, Demmel, James

“…Training neural networks has become a big bottleneck. For example, training ImageNet dataset on one Nvidia K20 GPU needs 21 days. To speed up the training…”
Get full text

Dynamic Buffer Management in Massively Parallel Systems: The Power of Randomness by Pham, Minh, Yuan, Yongke, Li, Hao, Mou, Chengcheng, Tu, Yicheng, Xu, Zichen, Meng, Jinghan

“…Massively parallel systems, such as Graphics Processing Units (GPUs), play an increasingly crucial role in today's data-intensive computing. The unique…”
Get more information

Scalable reduction collectives with data partitioning-based multi-leader design by Bayatpour, Mohammadreza, Chakraborty, Sourav, Subramoni, Hari, Lu, Xiaoyi, Panda, Dhabaleswar K. (DK)

“…Existing designs for MPI_Allreduce do not take advantage of the vast parallelism available in modern multi-/many-core processors like Intel Xeon/Xeon Phis or…”
Get full text

Massively parallel 3D image reconstruction by Wang, Xiao, Sabne, Amit, Sakdhnagool, Putt, Kisner, Sherman J., Bouman, Charles A., Midkiff, Samuel P.

“…Computed Tomographic (CT) image reconstruction is an important technique used in a wide range of applications. Among reconstruction methods, Model-Based…”
Get full text

Montblanc : GPU accelerated radio interferometer measurement equations in support of Bayesian inference for radio observations by Perkins, S.J., Marais, P.C., Zwart, J.T.L., Natarajan, I., Tasse, C., Smirnov, O.

Get full text

ISAVS: Interactive Scalable Analysis and Visualization System by Petruzza, Steve, Venkat, Aniketh, Gyulassy, Attila, Scorzelli, Giorgio, Pascucci, Valerio, Federer, Frederick, Angelucci, Alessandra, Bremer, Peer-Timo

“…Modern science is inundated with ever increasing data sizes as computational capabilities and image acquisition techniques continue to improve. For example,…”
Get more information