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Posts

Jan, 21

The State of the Art in Interactive Global Illumination

The interaction of light and matter in the world surrounding us is of striking complexity and beauty. Since the very beginning of computer graphics, adequate modeling of these processes and efficient computation is an intensively studied research topic and still not a solved problem. The inherent complexity stems from the underlying physical processes as well […]
Jan, 21

Fast Graph Cuts using Shrink-Expand Reparameterization

Global optimization of MRF energy using graph cuts is widely used in computer vision. As the images are getting larger, faster graph cuts are needed without sacrificing optimality. Initializing or reparameterizing a graph using results of a similar one has provided efficiency in the past. In this paper, we present a method to speedup graph […]
Jan, 20

On the Correctness of the SIMT Execution Model of GPUs

GPUs are becoming a primary resource of computing power. They use a single instruction, multiple threads (SIMT) execution model that executes batches of threads in lockstep. If the control flow of threads within the same batch diverges, the different execution paths are scheduled sequentially; once the control flows reconverge, all threads are executed in lockstep […]
Jan, 20

Automated Techniques for Enabling Efficient MPI Application Migration

Applications that use the MPI standard have additional dependencies related to the MPI implementation. When migrating an MPI code to a new computing site, the binary will not run if these dependencies are not resolved by properly configuring the new site. In this work, we present techniques that automatically resolve dependencies before runtime and enable […]
Jan, 20

Experiences in Teaching a Specialty Multicore Computing Course

We detail the design and experiences in delivering a specialty multicore computing course whose materials are openly available. The course ambitiously covers three multicore programming paradigms: shared memory (OpenMP), device (CUDA) and message passing (RCCE), and involves significant practical work on their respective platforms: an UltraSPARC T2, Fermi GPU and the Single-Chip Cloud Computer. Specialized […]
Jan, 20

Stochastic Progressive Photon Mapping for Dynamic Scenes

Stochastic Progressive Photon Mapping (SPPM) is a method to simulate consistent global illumination. It is especially useful for complicated light paths like caustics seen through a glass surface. Up to now, SPPM can only be applied to a static scene and noise-free images require hours to compute. Our approach is to extend this method to […]
Jan, 20

An Energy-Efficient Heterogeneous System for Embedded Learning and Classification

Embedded learning applications in automobiles, surveillance, robotics, and defense are computationally intensive, and process large amounts of real-time data. Systems for such workloads have to balance stringent performance constraints within limited power budgets. High performance computer processing units (CPUs) and graphics processing units (GPUs) cannot be used in an embedded platform due to power issues. […]
Jan, 20

Parallel Volume Rendering for Large Scientific Data

Data sets of immense size are regularly generated by 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 workstations is now commonplace. One solution to this problem is to employ a ‘visualization cluster,’ […]
Jan, 20

Leveraging on High-Performance Computing and Cloud Technologies in Digital Libraries: A Case Study

With the emergence of high-performance computing instances in the cloud, massive scale computations have become available to technically every organization. Digital libraries typically employ a data-intensive infrastructure, but given the resources, advanced services based on data and text mining could be developed. A fundamental issue is the ease of development and integration of such services. […]
Jan, 20

Efficient fMRI Analysis and Clustering on GPUs

Graphics processing units (GPUs) traditionally have been used to accelerate only parts of the graphics pipelines. The emergence of the new age GPUs as highly parallel, multi-threaded and many core processor systems with the ability to perform general purpose computations has opened doors for new form of heterogeneous computing where the GPU and CPU can […]
Jan, 20

Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

Sophisticated video processing effects require both image and geometry information. We explore the possibility to augment a video camera with a recent infrared time-of-flight depth camera, to capture high-resolution RGB and low-resolution, noisy depth at video frame rates. To turn such a setup into a practical RGBZ video camera, we develop efficient data filtering techniques […]
Jan, 19

Dynamically Managed Data for CPU-GPU Architectures

GPUs are flexible parallel processors capable of accelerating real applications. To exploit them, programmers must ensure a consistent program state between the CPU and GPU memories by managing data. Manually managing data is tedious and error-prone. In prior work on automatic CPU-GPU data management, alias analysis quality limits performance, and type-inference quality limits applicability. This […]

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