WPMVP 2015 - 2nd Workshop on Programming Models for Vector Processing

While GPU has gained wide-spread attention in the research community in recent years, the design of “traditional” Single Instruction Multiple Data (SIMD) and vector processing units for modern processors (ARM, POWER, X86) have also quietly gone through an evolution to increase processing power, relax programmability constraints, and expand application domains. It is time to take a fresh look at the programming interface design of SIMD/vector units, some of which may sound last century like SIMD intrinsics, while others increasingly resemble programming interfaces for GPU.
Scope
The purpose of this workshop is to bring together practitioners and researchers from academia and industry alike to discuss issues, solutions, and opportunities in enabling end users (developers) to effectively exploit SIMD/vector processing in modern processors. We seek submissions that cover all aspects of SIMD/vector processing. Topics
of interests include, but are not restricted to:
Programming models for SIMD/vector processing:
C/C++/Fortran extensions for SIMD (e.g., OpenMP, OpenACC, OpenCL, SIMD intrinsics)
New data parallel or streaming programming models for SIMD
Exploitation of SIMD/vector in Java, scripting languages, and domain-specific languages
Compilers & tools to discover and optimize SIMD parallelism
Application frameworks for developing SIMD/vector applications
Case study, experience report, and performance analysis of SIMD/vector applications
Submission
Submitted papers must be no more than 8 pages in length. Authors are encouraged to use the ACM two column format here. Each submission will receive at least three reviews from the technical program committee and authors of selected submissions will have 30 minutes to present their work at the workshop.