SC17 Denver, CO

ACM Student Research Competition Posters

  1. A01: GEMM-Like Tensor-Tensor Contraction (GETT). Paul Springer and Paolo Bientinesi (RWTH Aachen University)
  2. A02: Accelerating the Higher Order Singular Value Decomposition Algorithm for Big Data with GPUs. Yuhsiang M. Tsai (National Taiwan University)
  3. A03: A High-Speed Algorithm for Genome-Wide Association Studies on Multi-GPU Systems. YEN CHEN CHEN (National Taiwan University)
  4. A04: Optimization of the AIREBO Many-Body Potential for KNL. Markus Höhnerbach (RWTH Aachen University)
  5. A05: Parallel Prefix Algorithms for the Registration of Arbitrarily Long Electron Micrograph Series. Marcin Copik (RWTH Aachen University)
  6. A06: Accelerating Big Data Processing in the Cloud with Scalable Communication and I/O Schemes. Shashank Gugnani (Ohio State University)
  7. A07: Scalable Parallel Scripting in the Cloud. Benjamin H. Glick (Lewis & Clark College)
  8. A08: Virtualized Big Data: Reproducing Simulation Output on Demand. Salvatore Di Girolamo (ETH Zurich)
  9. A09: Ring: Unifying Replication and Erasure Coding to Rule Resilience in KV-Stores. Konstantin Taranov (ETH Zurich)
  10. A10: Revealing the Power of Neural Networks to Capture Accurate Job Resource Usage from Unparsed Job Scripts and Application Inputs. Michael R. Wyatt (University of Delaware)
  11. A11: Finding a Needle in a Field of Haystacks: Lightweight Metadata Search for Large-Scale Distributed Research Repositories. Anna Blue Keleher (University of Maryland)
  12. A12: Applying Image Feature Extraction to Cluttered Scientific Repositories. Emily Herron (Mercer University)
  13. A13: Deep Learning with HPC Simulations for Extracting Hidden Signals: Detecting Gravitational Waves. Daniel George (National Center for Supercomputing Applications, University of Illinois)
  14. A14: Analysis of Synthetic Graph Generation Methods for Directed Network Graphs. Spencer Callicott (Mississippi State University)
  15. A15: Quantifying Compiler Effects on Code Performance and Reproducibility Using FLiT. Michael Bentley (University of Utah)
  16. A16: Diagnosing Parallel I/O Bottlenecks in HPC Applications. Peter Z. Harrington (University of California, Santa Cruz)
  17. A17: Toward Capturing Nondeterminism Motifs in HPC Applications. Dylan Chapp (University of Delaware)
  18. A18: Understanding the Impact of Fat-Tree Network Locality on Application Performance. Philip Taffet (Rice University)
  19. A19: Performance Analysis of a Parallelized Restricted Boltzmann Machine Artificial Neural Network Using OpenACC Framework and TAU Profiling System. Abhishek Kumar (Brookhaven National Laboratory)
  20. A20: Correctness Verification and Boundary Conditions for Chapel Iterator-Based Loop Optimization. Daniel A. Feshbach (Haverford College)
  21. A21: Runtime Support for Concurrent Execution of Overdecomposed Heterogeneous Tasks. Jaemin Choi (University of Illinois)
  22. A22: Verifying Functional Equivalence Between C and Fortran Programs. Wenhao Wu (University of Delaware)
  23. A23: Evaluation of Data-Intensive Applications on Intel Knights Landing Cluster. Tao Gao (University of Delaware)
  24. A24: Comparison of Machine Learning Algorithms and Their Ensembles for Botnet Detection. Songhui Ryu (Purdue University)
  25. A25: Investigating Performance of Serialization Methods for Networked Data Transfer in HPC Applications. Max Yang (Georgia Institute of Technology)
  26. A26: Co-Designing MPI Runtimes and Deep Learning Frameworks for Scalable Distributed Training on GPU Clusters. Ammar Ahmad Awan (Ohio State University)
  27. A27: High-Performance and Scalable Broadcast Schemes for Deep Learning on GPU Clusters. Ching-Hsiang Chu (Ohio State University)
  28. A28: Exploring Use Cases for Non-Volatile Memories in Support of HPC Resilience. Onkar Patil (North Carolina State University)

SC17 Archive