“In order for developers to be able to focus on their application, a Vision Algorithm Designer application is included in the Intel Computer Vision SDK. This gives users a drag and drop interface that allows them to create new applications on the fly. Large and complex workflows can be modelled visually which takes the guesswork out of bringing together many different functions. In addition, customized code can be added to the workflows.”
Today Amazon Web Services announced the availability of P2 instances, a new GPU instance type for Amazon Elastic Compute Cloud designed for compute-intensive applications that require massive parallel floating point performance, including artificial intelligence, computational fluid dynamics, computational finance, seismic analysis, molecular modeling, genomics, and rendering. With up to 16 NVIDIA Tesla K80 GPUs, P2 instances are the most powerful GPU instances available in the cloud.
Today ArrayFire released the latest version of their ArrayFire open source library of parallel computing functions supporting CUDA, OpenCL, and CPU devices. ArrayFire v3.4 improves features and performance for applications in machine learning, computer vision, signal processing, statistics, finance, and more.
Registration is now open for the Advanced Hands-On OpenCL Tutorial at the IWOCL 2016 conferernce. The tutorial focuses on advanced OpenCL concepts and is an extension of the highly successful “Hands on OpenCL” course which has received over 6,500 downloads from GitHub. Simon McIntosh-Smith, Associate Professor in High Performance Computing at the University of Bristol and one of the tutorial authors will lead the sessions.
“In a heterogeneous system that combines both the Intel Xeon CPU and the Intel Xeon Phi coprocessor, there are various options available to optimize applications. Whether one has an advantage over another is somewhat dependent on the application that is being run. Comparisons can be made comparing the two methods, as long as the algorithm lends itself to run and take advantage of either OpenMP or OpenCL.”
“We describe Oclgrind, a platform designed to enable the creation of developer tools for analysis and debugging of OpenCL programs. Oclgrind simulates how OpenCL kernels execute with respect to the OpenCL standard, adhering to the execution and memory models that it defines. A simple plugin interface allows developer tools to observe the simulation and collect execution information to provide useful analysis, or catch bugs that would be otherwise difficult to spot when running the application on a real device. We give details about the implementation of the simulator, and describe how it can be extended with plugins that provide useful developer tools. We also present several example use-cases that have already been created using this platform, motivated by real-world problems that OpenCL developers face.”
“OpenCL is a fairly new programming model that is designed to help programmers get the most out of a variety of processing elements in heterogeneous environments. Many benchmarks that are available have demonstrated that excellent performance can be obtained over a wide variety of devices. Rather than lock an application into one specific accelerator, by using OpenCL, applications can be run over on a number of different architectures with each showing excellent speedups over a native (host cpu) implementation.”
Today ArrayFire announced the release of Version 3.0 of their high-speed software library for GPU computing. The new version features major changes to ArrayFire’s visualization library, a new CPU backend, and dense linear algebra for OpenCL devices. It also includes improvements across the board for ArrayFire’s OpenCL backend.
The International Workshop on OpenCL (IWOCL) has issued its Call for Papers.