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  1. Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC '10)
  2. Joint Plenary Talk:
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SC10 Education Program Welcome and Keynote Address: How to Create New Growth in a Risk-Minimizing Environment
Joint Plenary Talk:
190 TFlops Astrophysical N-body Simulation on a Cluster of GPUs
Extreme-Scale AMR
Scalable Earthquake Simulation on Petascale Supercomputers
Multiscale Simulation of Cardiovascular flows on the IBM Bluegene/P: Full Heart-Circulation System at Red-Blood Cell Resolution
Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures
Toward First Principles Electronic Structure Simulations of Excited States and Strong Correlations in Nano- and Materials Science
Scalable Tile Communication-Avoiding QR Factorization on Multicore Cluster Systems
Parallel Fast Gauss Transform
Overlapping Methods of All-to-All Communication and FFT Algorithms for Torus-Connected Massively Parallel Supercomputers
On-Chip Network Evaluation Framework
Circuit-Switched Memory Access in Photonic Interconnection Networks for High-Performance Embedded Computing
CPM in CMPs: Coordinated Power Management in Chip-Multiprocessors
A Multi-Scale Heart Simulation on Massively Parallel Computers
3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs
An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code
Understanding the Impact of Emerging Non-Volatile Memories on High-Performance, IO-Intensive Computing
DASH: a Recipe for a Flash-based Data Intensive Supercomputer
Simple but Effective Heterogeneous Main Memory with On-Chip Memory Controller Support
Exploiting 162-Nanosecond End-to-End Communication Latency on Anton
vSnoop: Improving TCP Throughput in Virtualized Environments via Acknowledgement Offload
A Flexible Reservation Algorithm for Advance Network Provisioning
Design, Modeling, and Evaluation of a Scalable Multi-level Checkpointing System
Experiences with a Lightweight Supercomputer Kernel: Lessons Learned from Blue Gene's CNK
Characterizing the Influence of System Noise on Large-Scale Applications by Simulation
Fast PGAS Implementation of Distributed Graph Algorithms
Multithreaded Asynchronous Graph Traversal for In-Memory and Semi-External Memory
Scalable Graph Exploration on Multicore Processors
Strider: Runtime Support for Optimizing Strided Data Accesses on Multi-Cores with Explicitly Managed Memories
Combined Iterative and Model-driven Optimization in an Automatic Parallelization Framework
An Adaptive Framework for Simulation and Online Remote Visualization of Critical Climate Applications in Resource-constrained Environments
OpenMPC: Extended OpenMP Programming and Tuning for GPUs
The 48-core SCC Processor: the Programmer's View
A Block-Oriented Language and Runtime System for Tensor Algebra with Very Large Arrays
Accelerating I/O Forwarding in IBM Blue Gene/P Systems
Managing Variability in the IO Performance of Petascale Storage Systems
IOrchestrator: Improving the Performance of Multi-node I/O Systems via Inter-Server Coordination
A Scalable and Distributed Dynamic Formal Verifier for MPI Programs
FlowChecker: Detecting Bugs in MPI Libraries via Message Flow Checking
Scalable Identification of Load Imbalance in Parallel Executions Using Call Path Profiles
JAWS: Job-Aware Workload Scheduling for the Exploration of Turbulence Simulations
Automatic Run-time Parallelization and Transformation of I/O
Functional Partitioning to Optimize End-to-End Performance on Many-core Architectures
Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method
Hierarchical Diagonal Blocking and Precision Reduction Applied to Combinatorial Multigrid
Exploring a Novel Gathering Method for Finite Element Codes on the Cell/B.E. Architecture
Scaling Hierarchical N-body Simulations on GPU Clusters
Size Matters: Space/Time Tradeoffs to Improve GPGPU Applications Performance
Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations
Elastic Cloud Caches for Accelerating Service-Oriented Computations
Data Sharing Options for Scientific Workflows on Amazon EC2
Power-Aware Consolidation of Scientific Workflows in Virtualized Environments
Parallelizing the QUDA Library for Multi-GPU Calculations in Lattice Quantum Chromodynamics
A Parallel Implementation of Electron-Phonon Scattering in Nanoelectronic Devices up to 95k Cores
Direct Numerical Simulation of Particulate Flows on 294912 Processor Cores
The Sharing Tracker: Using Ideas from Cache Coherence Hardware to Reduce Off-Chip Memory Traffic with Non-Coherent Caches
Reducing Cache Pollution Through Detection and Elimination of Non-Temporal Memory Accesses
PerfExpert: An Easy-to-Use Performance Diagnosis Tool for HPC Applications

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Joint Plenary Talk:

Content Provider ACM Digital Library
Author Davies, Terry Jones, Bob
Abstract During the 1980's climate modeling moved from being an academic problem to become the main tool in predicting climate change. Since then with better science and access to more computer power, models have improved significantly. Until now, due to their cost in running for centuries, climate models have been run at relatively low resolution and much of the recent increase in computer power has been used to increase the number of processes e.g. aerosols and the carbon cycle. To try to predict regional impacts of climate change will require higher resolution but to harness the computer power of the next generation of computers will require more scalable model code. It is likely that many of the existing climate models will need major reformulation involving both algorithms and grids to make best use of massively parallel architectures. Whether this can be done without significant compromises in the science remains an open question.
File Format MP4
ISBN 9781424475599
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-11-13
Access Restriction Subscribed
Content Type Audio
Resource Type Article
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