The ASIM (Arbeitsgruppe Simulation) and the TUM are jointly organizing the ASIM Workshop 2011 at Technische Universität München (TUM) and the Leibniz Supercomputing Centre, Germany. The workshop theme is “Trends in Computational Science and Engineering: Foundations of Modeling and Simulation” and will take place March 14 to March 16, 2011. The conference program consists of two building blocks: contributed talks and an extensive poster session for new and upcoming Ph.D. students. Poster submissions are cordially invited; registration closes February 12, 2011. More information is available at http://www5.in.tum.de/asim2011.html.
For workloads with abundant parallelism, GPUs deliver higher peak computational throughput than latency-oriented CPUs. Key insights of this article: Throughput-oriented processors tackle problems where parallelism is abundant, yielding design decisions different from more traditional latency oriented processors. Due to their design, programming throughput-oriented processors requires much more emphasis on parallelism and scalability than programming sequential processors. GPUs are the leading exemplars of modern throughput-oriented architecture, providing a ubiquitous commodity platform for exploring throughput-oriented programming.
(Michael Garland and David B. Kirk, “Understanding throughput-oriented architectures”, Commununications of the ACM 53(11), 58-66, Nov. 2010. [DOI])
Papers are solicited for the 2011 Symposium on Application Accelerators in High-Performance Computing. Presentations from technology developers and the academic user community are invited on the following topics:
- novel accelerator processors, systems, and architectures
- integration of accelerators with high-performance computing systems
- programming models for accelerator-based computing
- languages and compilers for accelerator-based computing
- run-time environments, profiling and debugging tools for accelerator-based computing
- scientific and engineering applications that use application accelerators
In addition to the general session, submissions are invited for the following domain-specific topics:
- Computational chemistry on accelerators (Chair: TBD)
- Lattice QCD (Chair: Steven Gottlieb, Indiana University, Bloomington)
- Weather and climate modeling (Chair: John Michalakes, National Renewable Energy Laboratory)
- Bioinformatics (Chair: TBD)
Submissions are due May 6, 2011, and more information can be found at the symposium website www.saahpc.org.
We are pleased to announce High-Performance Graphics 2011. High Performance Graphics is the leading international forum for performance-oriented graphics systems research including innovative algorithms, efficient implementations, and hardware architecture. The conference brings together researchers, engineers, and architects to discuss the complex interactions of massively parallel hardware, novel programming models, efficient graphics algorithms, and innovative applications. High Performance Graphics was founded in 2009 to synthesize and expand on two important and well-respected conferences in computer graphics:
- Graphics Hardware: an annual conference focusing on graphics hardware, architecture, and systems since 1986; and
- Interactive Ray Tracing: an innovative symposium begun in 2006 focusing on the emerging field of interactive ray tracing and global illumination techniques.
By combining and expanding these two communities, we bring to authors and attendees the best of both fields and a conference covering a broad range of interactive 3D graphics systems and algorithm research.
Sponsored by ACM SIGGRAPH and Eurographics (pending)
The program features three days of paper and industry presentations, with ample time for discussions during breaks, lunches, and the conference banquet.
The conference, which will take place on August 5—7, is co-located with ACM SIGGRAPH 2011 in Vancouver, Canada.
The conference website is located at http://www.highperformancegraphics.org/
We invite original and innovative performance-oriented contributions from all areas of graphics, including hardware architectures, rendering, physics, animation, AI, simulation, and data structures, with topics including (but not limited to): Read the rest of this entry »
A Highly Efficient GPU Implementation for Variational Optic Flow Based on the Euler-Lagrange FrameworkNovember 21st, 2010
The Euler-Lagrange (EL) framework is the most widely-used strategy for solving variational optic flow methods. We present the first approach that solves the EL equations of state-of-the-art methods on sequences with 640×480 pixels in near-realtime on GPUs. This performance is achieved by combining two ideas: (i) We extend the recently proposed Fast Explicit Diffusion (FED) scheme to optic flow, and additionally embed it into a coarse-to-fine strategy. (ii) We parallelise our complete algorithm on a GPU, where a careful optimisation of global memory operations and an efficient use of on-chip memory guarantee a good performance. Applying our approach to the variational ‘Complementary Optic Flow’ method (Zimmer et al. (2009)), we obtain highly accurate flow fields in less than a second. This currently constitutes the fastest method in the top 10 of the widely used Middlebury benchmark.
(Pascal Gwosdek, Henning Zimmer, Sven Grewenig, Andrés Bruhn and Joachim Weickert: “A Highly Efficient GPU Implementation for Variational Optic Flow Based on the Euler-Lagrange Framework”, Proceedings of the ECCV Workshop for Computer Vision with GPUs, Sep 2010.) [Project webpage with PDF, sources and additional information]
The application period for the NVIDIA Graduate Fellowship Program is now open. We are currently accepting applications for the 2011-2012 academic year. The deadline to apply is 11:59PM PST on February 3, 2011.
NVIDIA has long believed that investing in university talent is beneficial to the industry and key to our continued growth and success. The NVIDIA Graduate Fellowship Program provides funding to Ph.D. students who are researching topics that will lead to major advances in the graphics and high-performance computing industries, and are investigating innovative ways of leveraging the power of the GPU. We select students each year who have the talent, aptitude and initiative to work closely with us early in their careers. Recipients not only receive crucial funding for their research, but are able to conduct groundbreaking work with access to NVIDIA products, technology and some of the most talented minds in the field.
For complete details including application instructions, requirements, benefits, and eligibility, visit the NVIDIA Graduate Fellowship website.
The International Journal of Computer Science and Security (IJCSS) is a refereed online journal which is a forum for publication of current research in computer science and computer security technologies. It considers any material dealing primarily with the technological aspects of computer science and computer security. The journal is targeted to be read by academics, scholars, advanced students, practitioners, and those seeking an update on current experience and future prospects in relation to all aspects computer science in general but specific to computer security themes. Subjects covered include: access control, computer security, cryptography, communications and data security, databases, electronic commerce, multimedia, bioinformatics, signal processing and image processing etc. Read the rest of this entry »
The 2011 Spring Simulation Multiconference will feature the 19th High Performance Computing Symposium (HPC 2011), devoted to the impact of high performance computing and communications on computer simulations. Advances in multicore and many-core architectures, networking, high end computers, large data stores, and middleware capabilities are ushering in a new era of high performance parallel and distributed simulations. Along with these new capabilities come new challenges in computing and system modeling. The goal of HPC 2011 is to encourage innovation in high performance computing and communication technologies and to promote synergistic advances in modeling methodologies and simulation. It will promote the exchange of ideas and information between universities, industry, and national laboratories about new developments in system modeling, high performance computing and communication, and scientific computing and simulation.
Topics of interest include:
- high performance/large scale application case studies,
- GPU, multicore, and many-core analysis and applications,
- power aware computing,
- cloud, distributed, and grid computing,
- asynchronous numerical methods and programming,
- hybrid system modeling and simulation,
- visualization and data management,
- problem solving environments,
- tools and environments for coupling parallel codes,
- parallel algorithms and architectures,
- high performance software tools,
- resilience at the simulation level,
- component technologies for high performance computing.
More information can be found on the webpage: http://www.cs.vt.edu/hpc2011/
The goal of this workshop, held in conjunction with ASPLOS XVI (Newport Beach, CA USA, March 5-6 2011) is to provide a forum to discuss new and emerging general-purpose purpose programming environments and platforms, as well as evaluate applications that have been able to harness the horsepower provided by these platforms. This year’s work is particularly interested on new heterogeneous GPU platforms. Papers are being sought on many aspects of GPUs, including (but not limited to):
- GPU applications + GPU compilation
- GPU programming environments + GPU power/efficiency
- GPU architectures + GPU benchmarking/measurements
- Multi-GPU systems + Heterogeneous GPU platforms
Paper Submission: Authors should submit a 8 page paper in ACM double-column style using the directions on the conference website at http://www.ece.neu.edu/GPGPU.
Organizers: John Cavazos (University of Delaware) and David Kaeli (Northeastern University)
Graphics processing units (GPUs) have traditionally been used in molecular modeling solely for visualization of molecular structures and animation of trajectories resulting from molecular dynamics simulations. Modern GPUs have evolved into fully programmable, massively parallel co-processors that can now be exploited to accelerate many scientific computations, typically providing about one order of magnitude speedup over CPU code and in special cases providing speedups of two orders of magnitude. This paper surveys the development of molecular modeling algorithms that leverage GPU computing, the advances already made and remaining issues to be resolved, and the continuing evolution of GPU technology that promises to become even more useful to molecular modeling. Hardware acceleration with commodity GPUs is expected to benefit the overall computational biology community by bringing teraflops performance to desktop workstations and in some cases potentially changing what were formerly batch-mode computational jobs into interactive tasks.
John E. Stone, David J. Hardy, Ivan S. Ufimtsev, and Klaus Schulten: “GPU-Accelerated Molecular Modeling Coming of Age”, Journal of Molecular Graphics and Modelling, Volume 29, Issue 2, September 2010, Pages 116-125. [DOI])