We present a new approach for computing the voxelized Minkowski sum (excluding any enclosed voids) of two polyhedral objects using programmable Graphics Processing Units (GPUs). We first cull out surface primitives that will not contribute to the final boundary of …
December 14, 2011 by hgpu
Advances in sequencing technologies have revolutionized the field of genomics by providing cost effective and high throughput solutions. In this paper, we develop a parallel sequence assembler implemented on general purpose graphic processor units (GPUs). Our work was largely motivated …
December 5, 2011 by hgpu
With the computing industry trending towards multi- and many-core processors, we study how a standard visualization algorithm, ray-casting volume rendering, can benefit from a hybrid parallelism approach. Hybrid parallelism provides the best of both worlds: using distributed-memory parallelism across a …
November 16, 2011 by hgpu
Data sets of immense size are regularly generated on large scale computing resources. Even among more traditional methods for acquisition of volume data, such as MRI and CT scanners, data which is too large to be effectively visualized on standard …
November 9, 2011 by hgpu
Heterogeneous architectures become dominant in high-performance computing platforms but programming them remains really hard, especially because high-performance programs are usually written using low-level languages (C, Fortran, OpenMP…) and frameworks (CUDA, OpenCL…). Mid-level frameworks have been introduced to automatically perform management …
November 7, 2011 by hgpu
Simulating large scale computer models of brain structures with spiking neuronal networks has become increasingly popular and feasible with the advent of general purpose computing on graphical processing units (GPGPU). Modern graphics cards, such as the NVidia range supporting the …
October 26, 2011 by hgpu
Graphics processor units (GPUs) are designed to efficiently exploit thread level parallelism (TLP), multiplexing execution of 1000s of concurrent threads on a relatively smaller set of single-instruction, multiple-thread (SIMT) cores to hide various long latency operations. While threads within a …
October 22, 2011 by hgpu
Manycore accelerators such as graphics processor units (GPUs) organize processing units into single-instruction, multiple data "cores" to improve throughput per unit hardware cost. Programming models for these accelerators encourage applications to run kernels with large groups of parallel scalar threads. …
September 28, 2011 by hgpu
We present a framework for representing image processing kernels based on decoupled access/execute metadata, which allow the programmer to specify both execution constraints and memory access pattern of a kernel. The framework performs source-to-source translation of kernels expressed in highlevel …
September 26, 2011 by hgpu
Wide Single Instruction, Multiple Thread (SIMT)architectures often require a static allocation of thread groups that are executed in lockstep throughout the entire application kernel. Individual thread branching is supported by executing all control flow paths for threads in a thread …
September 23, 2011 by hgpu
The NVIDIA OptiX ray tracing engine is a programmable system designed for NVIDIA GPUs and other highly parallel architectures. The OptiX engine builds on the key observation that most ray tracing algorithms can be implemented using a small set of …
September 14, 2011 by hgpu
The atomic force microscope (AFM) is a versatile, high-resolution tool used to characterize the topography and material properties of a large variety of specimens at nano-scale. The interaction of the micro-cantilever tip with the specimen causes cantilever deflections that are …
September 5, 2011 by hgpu
Most viewed papers (last 30 days)
- Graphics Programming on the Web WebCL Course Notes
- Use NVIDIA CUDA technology to create genetic algorithms with extensive population
- Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples
- Implementations of the FFT algorithm on GPU
- GPU Scripting and Code Generation with PyCUDA
- A General-Purpose GPU Reservoir Computer
- One OpenCL to Rule Them All?
- Secrets from the GPU
- Adding GPU Computing to Computer Organization Courses
- Fluid Motion Modelling Using Vortex Particle Method on GPU
