We are pleased to announce the 2012 Innovative Parallel Computing: Foundations & Applications of GPU, Manycore, and Heterogeneous Systems (InPar2012). This new conference provides a first-tier academic venue for peer-reviewed publications in the emerging fields of parallel computing, encompassing the topics of GPU computing, manycore computing, and heterogeneous computing.

InPar has dual focus on “Foundations”—the fundamental advances in parallel computing itself—and “Applications”—case studies and lessons learned from the application of commodity parallel computing in domains across science and engineering. The goal of InPar is to bring together researchers in the myriad fields being revolutionized by GPUs to share experiences, discover commonalities, and both inform and learn from the computer scientists working on the foundations of parallel computing.

TOPICS

InPar encourages papers involving current GPU/manycore architectures, new or emerging commodity parallel architectures (such as Intel “MIC” products), and hybrid or heterogeneous systems. Possible topics include, but are not limited to:

FOUNDATIONS

Programming systems
- Parallel programming models
- Languages, including domain-specific languages (DSLs)
- Compilers and runtime systems
- Operating system support for GPU/manycore processors and heterogeneity
- Approaches and tools for program analysis, profiling and debugging

Rethinking algorithms and data structures for parallel computing
- Core algorithms and data structures: sorting, hash tables, etc.
- Graph algorithms
- Numerical algorithms and data structures

Heterogeneous computing with a primary focus toward GPUs/manycore processors
- Compilation for heterogeneous applications
- Runtime support for heterogeneous applications
- Applications that effectively use heterogeneous resources

Cross-platform solutions
- Languages and runtime systems (OpenCL, Ocelot, PyOpenCL, etc)
- Performance evaluation and comparisons

Computer architecture for commodity parallel computing
- Parallel system simulators and predictive models
- Microarchitecture
- Memory system architecture
- System interconnect
- Fault tolerance and reliable computing

APPLICATIONS

Computational physics and chemistry
- molecular physics, quantum chemistry
- condensed-matter physics, fluid dynamics and material science
- earth sciences, climate and weather modeling
- astrophysics and cosmology

Life sciences & computational biology
- bioinformatics, protein folding
- neuroscience
- biomedical imaging

Engineering simulation & design
- optimization
- electronic design automation
- product development

Statistical modeling and computational finance
- random number generators, Monte Carlo
- data analysis and forecasting

Data-intensive applications
- machine learning
- artificial intelligence
- real-time processing

Computer vision
- fast graph algorithms
- visual saliency, recognition, object detection

Video/image/audio and signal processing
- speech recognition
- photo-realistic rendering
- spectral analysis
- visual effects for film and video

DATES

Abstract due: December 6, 2011
Papers due: December 13, 2011
Authors informed of decisions: February 10, 2012
Camera-ready papers due: March 2, 2012
Conference: May 13-14, 2012

PROCEEDINGS

InPar is a highly selective, peer-reviewed, and archival publication venue. Due to the diverse, multi-disciplinary nature of this conference, some authors may be unfamiliar with publication traditions that are customary in computer science but uncommon in other fields. We are currently working towards ACM sponsorship of this conference. After approval, the papers will be published via the ACM International Conference Proceedings Series and will appear in the ACM Digital Library, will receive an ISBN number, etc. The program committee and tertiary reviewers will review, rank, and select only the best papers for presentation at the conference and publication in the proceedings. Authors will receive review reports, but the short publication cycle allows only minor revisions.

Contact us at inpar12@innovativeparallel.org