hyPACK-2013 Target Audience

• Application Users on Parallel Processing Platforms
• Faculty members who would like to initiate programming on Intel Xeon-Phi coprocessors
• Intermediate to advanced level users of Multi-Core Core Processors and Systems with coprocessors and GPU accelerator devices.
• Research Scientists who would like to port their codes on Massievely Parallel Processing platforms using Distributed Shared memory platforms with coprocessors and accelerators
• Students & faculty members who would like to pursue research career on General Purpose Graphic Processing Units (GPGPUs) computing and GPU computing.
• Faculty members and Scientists who work on Energy efficiency of HPC systems and power-aware performance of applications in Science and Engineering
• Faculty members who would like to teach Multi-Core processors with coprocessor GPGPUs/ GPU Computing & Distributed Shared Memory Models or PGAS Models with GPGPUs
• Faculty members who would like to teach programming on coprocessors and GPGPGUs based on Heterogeneous Programming - OpenCL
• HPC researchers, faculty members, and students to exchange ideas related to performance on Multi-Core Processors with coprocessors GPGPUs /GPU Computing and HPC GPU Clusters
• HPC users who would like to understand Tuning & Performance on HPC Cluster with coprocessors and accelerators focussing on measurement of power consumption and health monitoring systems
• HPC users who would like to understand Tuning & Performance on Hybrid Computing Systems
• Researchers who would like work on Application & System Benchmarks on Multi-Core processors with coprocessors and GPGPUs/ GPU Computing.
• Final year graduate students who would like to do their projects on Multi-Core systems with coprocessors and GPGPUs/ GPU Computing.
• User of Java Concurrent Thread Programming on Multi-Core Processors, General Purpose Computing Users, Visual Computing Users.