Workshop on Architectures and Languages for Throughput Applications (with ISCA'08)

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Homepage: http://www.sei.buaa.edu.cn/alta08/

Workshop Theme

Throughput-oriented applications are attracting broader interest because of the proliferation of multi- and many-core CPUs and GPUs. The reasons are many-fold. Increasing software-exposed parallelism is necessitated by power-constrained design. Moreover, the emphasis on visual quality in entertainment-oriented applications is driving demand on client platforms. Finally, the pre-existing demands for compute cycles in high-performance computing is challenged by the changing programming and optimization landscape found in highly integrated multi-core devices.

This workshop seeks an interdisciplinary set of commercial and academic researchers and practitioners working at the frontiers of throughput oriented programming models, applications, and architectures. These include, but are not limited to:

Topics of Interest
  • Multi-core and many-core CPU and GPU architecture
  • Proposed architectural enhancements for throughput computing
  • Power considerations for throughput-oriented designs
  • Data-parallel or collection-oriented programming models
  • GPU programming models
  • Domain specific languages
  • Algorithmic techniques for implementing key building blocks for throughput computing algorithms
  • Selected application case studies on throughput computing architectures, including (but not limited to)

    [*] Gaming/Graphics​
  • Computational finance
  • Seismic processing
  • Image/Video/Signal processing
  • Machine learning
  • Web search and services

The workshop will combine a set of peer-reviewed submissions and invited talks.

Submission of contributions

Interested authors are expected to submit a full paper (not to exceed 8 pages), following the formatting instructions at ftp://pubftp.computer.org/Press/Outgoing/proceedings/8.5x11 - Formatting files/. Please e-mail submissions to anwar.ghuloum@intel.com.

Copies of papers will be made available at the workshop.

Program Chair

Anwar Ghuloum (anwar.ghuloum@intel.com) Intel Corporation

Program Committee

  • Carmean Douglas, Intel Corporation
  • Tom Conte, North Carolina State University
  • Mike Houston, AMD
  • Michael McCool, RapidMind Inc.
  • Michael Garland, Nvidia
  • Sun Chan, Simplight Nanoelectronics
  • Xiaohua Shi, Beihang University

Organizers
  • Anwar Ghuloum (anwar.ghuloum@intel.com), Intel Corporation
  • Gansha Wu (gansha.wu@intel.com), Intel Corporation
  • Michael Liao (michael.liao@intel.com), Intel Corporation
 
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