Call for paper 〔OPEN〕

My submissions

Registration 〔OPEN〕

My tickets

〔CLOSED〕
Introduction

Current and emerging systems are deployed with heterogeneous architectures and accelerators of more than one type e.g. GPGPU, Intel® Xeon PhiT, FPGA along with hybrid processors of both lightweight and heavyweight cores (e.g APU, big.LITTLE). Such architectures also comprise of hybrid memory systems equipped with stacked/hierarchical memory and non-volatile memory in addition to regular DRAM. Programming such a system can be a real challenge along with locality, scheduling, load balancing, concurrency and so on.

This workshop focuses on understanding the implications of accelerators and heterogeneous designs on the hardware systems, porting applications, performing compiler optimizations, and developing programming environments for current and emerging systems. It seeks to ground accelerator research through studies of application kernels or whole applications on such systems, as well as tools and libraries that improve the performance and productivity of applications on these systems.

The goal of this workshop is to bring together researchers and practitioners who are involved in application studies for accelerators and other heterogeneous systems, to learn the opportunities and challenges in future design trends for HPC applications and systems.

Call for paper

Submission Topics

  • Strategies for programming heterogeneous systems using high-level models such as OpenMP, OpenACC, low-level models such as OpenCL, CUDA;
  • Methods and tools to tackle challenges in scientific computing at extreme scale;
  • Strategies for application behavior characterization and performance optimization for accelerators;
  • Techniques for optimizing kernels for execution on GPGPU, and future heterogeneous platforms;
  • Models of application performance on heterogeneous and accelerated HPC systems;
  • Compiler Optimizations and tuning heterogeneous systems including parallelization, loop transformation, locality optimizations, Vectorization;
  • Implications of workload characterization in heterogeneous and accelerated architecture design;
  • Benchmarking and performance evaluation for accelerators;
  • Tools and techniques to address both performance and correctness to assist application development for accelerators and heterogeneous processors;
  • System software techniques to abstract application domain-specific functionalities for accelerators;
Submit Comment
Verify Code Change Another
All Comments
Important Date
  • May 23

    2016

    Conference Date

  • May 23 2016

    Registration deadline