Symposium on Application Accelerators in High-Performance Computing (SAAHPC)

Opening Session Chair: Gregory Peterson, UTK Keynote: Highly Parallel Applications and Their Architectural Needs 40Gb/s+ Full Line Rate, Programmable Network Accelerators for Low Latency Applications

Reconfigurable Computing Chair: Ron Sass, University of North Carolina at Charlotte Real-time Object Tracking System on FPGAs Iterative Refinement on FPGAs GPU-Accelerated Wire-Length Estimation for FPGA Placement

Technology Review Chair: Craig Steffen, NCSA Acclerated Processing and the Fusion System Architecture Internal GPGPUs on Dedicated x16 Slots — Are They Needed for HPC? Preparing for the Big One: Prototyping Exascale Compute Clusters using Ordinary Household Objects

Weather and Climate Modeling Chair: John Michalakes, NREL Accelerating a Climate Physics Model with OpenCL Experience Applying Fortran GPU Compilers to Numerical Weather Prediction A Study of the Performance of Multifluid PPM Gas Dynamics on CPUs and GPUs

Reception and Poster Session

Dynamic Programming on a Data-Parallel Many-core Architecture Design and Simulation of a Rectangular Meshotron Unit Prototype Transformation of Scientific Algorithms to Parallel Computing Code: Single-GPU and MPI-multi-GPU Backends with Subdomain Support A First Analysis of a Dynamic Memory Allocation Controller (DMAC) Core Application of Graphics Processing Units (GPUs) to Study Non-Linear Dynamics of Exciton Bose-Einstein Condensate in a Semiconductor Quantum Well Porting Optimized GPU Kernels to a Multi-core CPU Computational Quantum Chemistry Application Example A Virtual Execution Evironment for Supporting Binary Applications on CPU/GPU Architectures G-NetMon: A GPU-accelerated Network Performance Monitoring System Implications of Memory-Efficiency on Sparse Matrix-Vector Multiplication

Keynote Session Chair: Volodymyr Kindratenko, NCSA Keynote: Power Constraints, Heterogeneity, and Dark Silicon Innovative Systems Lab at NCSA

GPU Applications I Chair: Akila Gothandaraman, University of Pittsburgh Solving Sparse Problems on GPUs GPU Performance Comparison for Accelerated Radar Data Processing Evaluation of GPU Architectures Using Spiking Neural Networks Adaptable Two-dimension Sliding Windows on NVIDIA GPUs with Runtime Compilation

Computational Physics and Chemistry Chair: Steven Gottlieb, Indiana University QUonG: a GPU-based HPC System Dedicated to LQCD Computing Efficient Implementation of the Overlap Operator on Multi-GPUs Quantum Chemical Many-body Theory on Heterogeneous Nodes

GPU Applications II Chair: Gregory Peterson, UTK On the Efficacy of a Fused CPU+GPU Processor for Parallel Computing A Class of Hybrid LAPACK Algorithms for Multicore and GPU Architectures Python for Development of OpenMP and CUDA Kernels for Multidimensional Data

Closing Remarks Chair: Gregory Peterson, UTK

Social Event and Best Paper Awards Food and drink provided