BlazeDEM3D-GPU A Large Scale DEM simulation code for GPUs

PuReMD-GPU: A reactive molecular dynamics simulation package for GPUs

Sorting on GPUs for large scale datasets: A thorough comparison

Although sort has been extensively studied in many research works, it still remains a challenge in particular if we consider the implications of novel processor technologies such as manycores (i.e. GPUs, Cell/BE, multicore, etc.). In this paper, we compare different algorithms for sorting integers on stream multiprocessors and we discuss their viability on large datasets (such as those managed ...

DEM-based simulation of concrete structures on GPU

The benefit of using the Discrete Element Method (DEM) for simulations of fracture in heterogeneous media has been widely highlighted. However modeling large structure leads to prohibitive computations times. We propose to take advantage of Graphics Processor Units (GPUs) to reduce the computation time, taking advantage of the highly data parallel nature of DEM computations. GPUs are massively ...

Lattice Boltzmann for Large-Scale GPU Systems

We describe the enablement of the Ludwig lattice Boltzmann parallel fluid dynamics application, designed specifically for complex problems, for massively parallel GPU-accelerated architectures. NVIDIA CUDA is introduced into the existing C/MPI framework, and we have given careful consideration to maintainability in addition to performance. Significant performance gains are realised on each GPU ...

GPU-acceleration for Large-scale Tree Boosting

In this paper, we present a novel massively parallel algorithm for accelerating the decision tree building procedure on GPUs (Graphics Processing Units), which is a crucial step in Gradient Boosted Decision Tree (GBDT) and random forests training. Previous GPU based tree building algorithms are based on parallel multiscan or radix sort to find the exact tree split, and thus suffer from scalabil...