Synergistic Environments for Experimental Computing

Workshop Introduction, Opening Comments and Discussion

• SEEC Workshop Overview
  Dr. Mark Gardner (Associate Director SEEC, Dept. of CS)

Session 1: Applications & Algorithms I

• Multilevel Parallelism for Computational Fluid Dynamics Codes on Heterogeneous Platforms
  Prof. Chris Roy
• cuART: Fine-Grained Algebraic Reconstruction Technique for Computed Tomography Images on GPUs
  Xiaodong Yu, Ph.D. Student
• Transforming Irregular Applications for Parallel Computing Architectures
  Jing Zhang, Ph.D. Student

Session 2: Models of Communication and Computation

• Models and Techniques for Power-Aware High-Performance Computing
  Vignesh Adhinarayanan, Ph.D. Student
• Characterizing and Tuning Disk I/O for HPC Systems
  Sarunya (“Kwang”) Pumma, Ph.D. Student

Session 3: Applications & Algorithms II

• Identification of novel miRNA-mediated regulation in oncogenic pathways
  Sharmi Banerjee (Remote), Ph.D. Student

Session 4: Libraries and Frameworks

• GLAF: A Framework for Enhancing Performance, Programmability and Portability of Heterogeneous Platforms
  Konstantinos Krommydas, Ph.D. Student
• MetaMorph: A Library Framework for Interoperable Kernels on Multi- and Many-core Clusters
  Ahmed Helal, Ph.D. Student
• Portability Problems: Platforms, Performance, and Programming Paradigms
  Paul Sathre (Remote), Research Staff Member
• Cognizant Networks: A Model for Session-based Communications and Adaptive Networking
  Umar Kalim, Ph.D. Student

Session 5: Accelerator-based Computing

• Introduction to Automata Processing (“Think Processor in Memory”)
  Xiaodong Yu, Ph.D. Student
• Directive-Based Pipeline Extensions for Accelerators in High Performance Computing
  Xuewen (“Harry”) Cui, Ph.D. Student
• Automatic Vectorization of Parallel Algorithms on Modern Multi/Many-core Processors
  Kaixi Hou (Remote), Ph.D. Student