Low-Energy Application Parallelism event ( LEAP 2013)

Date:  21-22 May, 2013
Location: Central London

LEAP2013_logoThe ARM Mali team will be at LEAP 2013 talking about the opportunities available via GPU Compute functionality and how it will enable new use cases for graphics processing whilst increasing energy efficiency.

We will keep you posted on the latest Mali-based news through Twitter @ARMMultimedia so that you don’t miss out if you are not there.

For more information about the event:

About LEAP

LEAP 2013 is the place to learn about and share the latest advances in the use of high-performance parallel computing technology on low-power mobile CPU, GPU and FPGA devices. LEAP provides a unique forum to bring together like-minded people who wish to explore the opportunities and challenges of this emerging technology to solve real-world problems in terms of both available compute performance and energy reduction.


Day 1 - Conference Program Summary

Accelerating extraordinary user experiences on mobile devicesNeil Trevett - Khronos President and NVidia Inc.
GPU Compute: A New Landmark for Energy Efficient Processing in Mobile and Embedded Computing
Roberto Mijat — ARM Limited
Trends in Heterogeneous Systems Architectures
Simon McIntosh-Smith – Bristol University
The Impact of Low-Power GPUs (LPGPU) to Deliver Advances in Real-World Interactive Applications; Compiler Tools; GPU Power Modelling; and Hardware Design
Paul Keir — Codeplay Software Limited.
Cool Compute: Strategies for Managing Power vs Performance in Mobile Devices
Doug Watt — Imagination Technologies Limited
Renderscript Accelerated Image and Video Processing
Lihua Zhang — MulticoreWare Inc
Developing High-Performance Low-Power Solutions using FPGAs and OpenCL
Craig Davis — Altera Corporation
Accelerated Computational Photography on Mobile Processors & GPUs
Mikael Sevenier — High-Performance Imaging Aptina Inc.
Experiences with Mobile Processors for Energy-Efficient HPC
Paul Carpenter – Barcelona Supercomputing Center
Paralldroid: A Framework for Parallelism in Android
Alejandro Acosta — University of La Laguna, Spain
A System for Analyzing Power Consumption in a Dual Cortex-A15 Platform
Seongho Son — Samsung Electronics, Core Technology Team

Day 2 - Tutorial and Khronos UK Chapter Meeting

10:00 - 12:00"Formal analysis techniques for GPU kernels" - a tutorial by Nathan Chong, Department of Computing, Imperial College
14:00 - 16:45Khronos UK Chapter Meeting hosted by Samsung Research UK and Neil Trevett, President Khronos