GPGPU » Tag: AMD :: GPGPU.org

OpenCL Programming Webinar Series

dom — Fri, 30 Mar 2012 05:57:07 +0000

AMD offers an OpenCL Programming Webinar Series to help software developers become experts in the latest technologies, standards and best practices. The series of three OpenCL webinars will be presented by Rob Farber.

1. April 10th, 10AM PDT: Introducing Portable Parallelism

C and C++ APIs
OpenCL Memory Spaces
The OpenCL Execution Model

2. April 24th, 10AM PDT: Coordinating OpenCL Computations on one more Heterogeneous Devices

How to Concisley Utilize Multiple Command Queues and Coordinate Tasks Across Multiple Heterogeneous Devices such as two GPU + CPU
Code Sample Discussion: Massively Parallel Random Number Test Framework

3. May 1st, 10AM PDT: Accelerate Rendering by an Order of Magnitude with OpenCL, Plus a View to the Multi-core and Web-enabled Future

How to use OpenCL to Provide High-Quality, Fast Rendering in Combination with Primitive Restart
Device Fission, Partitioning Hardware Capabilities for Optimal Resource Usage
Looking to the Future – WebCL

Registration is limited. More Information: http://developer.amd.com/zones/OpenCLZone/Events/pages/OpenCLWebinars.aspx

Call for Presentations: AMD Fusion12 Developer Summit

Mark Harris — Fri, 27 Jan 2012 03:54:01 +0000

AMD Fusion ’12 will be held June 11-14, 2012 in Bellevue, Washington at the Meydenbauer Center and the Hyatt Regency. AMD invites pioneers of next-generation software and the rapidly growing field of heterogeneous computing to share their latest work and research findings in the form of presentations. Presenters will have an opportunity to advocate new methodologies and paradigms, garner support for industry standards, and network with developers, innovators and academics who will help define the course of this technology. Presentation proposals are invited on the following topics:

Web Technologies
Cloud Computing – Servers and Data Center
Gaming and Consumer Graphics
Heterogeneous Computing
Innovative Client Experiences
Multimedia Processing
Professional Graphics and Visual Computing
Programming Languages and Models
Programming Tools
Security

Follow this link to submit presentation proposals by February 17, 2012. All proposals will be reviewed by a summit board composed of researchers, academics and practitioners in the field. Selected candidates will be notified by March 15, 2012. Speakers will be offered free conference admission, three nights of compensated hotel accommodations and an invitation to a special speaker reception.

Aparapi – Parallel programming with Java and OpenCL

dom — Thu, 15 Sep 2011 06:07:39 +0000

AMD just released to open source a project called Aparapi that started in their JavaLabs team. Aparapi is an API for expressing data parallel workloads in Java and a runtime component capable of converting the Java bytecode of compatible workloads into OpenCL™ so that it can be executed on a variety of GPU devices. More information can be found in this blog entry.

AMD OpenCL Coding Contest

dom — Sun, 26 Jun 2011 23:31:16 +0000

AMD announced a GPGPU coding competition, called AMD OpenCL Coding Competition. The first phase of the competition is an open innovation challenge that requires the use of the AMD APP SDK and OpenCL. The competition is heating up with the highest registration for a TopCoder innovation challenge to date. It’s not too late to sign up and show off your ideas! If you submit your abstract before June 30th you will get feedback from AMD, otherwise you will have up until the deadline to submit your OpenCL innovation challenge submission.

Phase two of the competition will be an OpenCL algorithm optimization match that will start later in September. Read more about it in this AMD blog.

AMD Fusion Developer Summit

dom — Wed, 30 Mar 2011 00:51:18 +0000

Heterogeneous computing is moving into the mainstream, and a broader range of applications are already on the way. As the provider of world-class CPUs, GPUs, and APUs, AMD offers unique insight into these technologies and how they interoperate. We’ve been working with industry and academia partners to help advance real-world use of these technologies, and to understand the opportunities that lie ahead. It’s time to share what we’ve learned so far.

With tutorials, hands-on labs, and sessions that span a range of topics from HPC to multimedia, you’ll have the opportunity to expand your view of what heterogeneous computing currently offers and where it is going. You’ll hear from industry innovators and academic pioneers who are exploring different ways of approaching problems, and utilizing new paradigms in computing to help identify solutions. You’ll meet AMD experts with deep knowledge of hardware architectures and the software techniques that best leverage those platforms. And you’ll connect with other software professionals who share your passion for the future of technology.

Learn more at developer.amd.com/afds.

CfP: AMD Fusion Developer Summit

dom — Wed, 15 Dec 2010 23:56:25 +0000

From a recent announcement:

Calling all software development innovators in general purpose GPU (GPGPU), data parallel and heterogeneous computing. On June 13-16, 2011 AMD will host the AMD Fusion Developer Summit (AFDS) in Bellevue, Washington. The AFDS conference board has issued a call for presentation proposals, inviting creators of next-generation software to share research and development work through presentations based on the latest technical papers or reports.

AFDS will be a great venue for developers, academics and innovative entrepreneurs to network with others engaged in related work, collectively defining the future course of heterogeneous computing. And delivering a presentation offers you the perfect opportunity to advocate programming paradigms or gain support for industry standards.

The submission deadline is Feb. 4 2011, and the full call is available at http://amd-member.com/newsletters/DevCentral/1012.html.

GPU Systems release MATLAB CPU-GPU Support

dom — Thu, 28 Oct 2010 03:46:42 +0000

From a recent press release:

GPU Systems releases Matlab language bindings for Libra SDK – heterogenous compute platform. Libra 1.2 version with runtime compiler and environment supports x86/x64 backends, OpenGL, OpenCL and CUDA compute backends. This release brings full BLAS 1,2,3 matrix/vector, dense/sparse, real/complex, single/double math library and extended functionality to Matlab computing platform executing on x86 CPUs & GPUs from AMD and NVIDIA.

Examples:

ATI Stream SDK v2.2 w/ OpenCL 1.1 Support released

dom — Mon, 23 Aug 2010 01:26:46 +0000

Version 2.2 of the ATI Stream SDK has been released. Features include:

Support for OpenCL™ 1.1 specification.
Support for Ubuntu® 10.04 and Red Hat® Enterprise Linux® 5.5.
Support for X86 CPUs with SSE2.x or later (Adds to existing support for X86 CPUs with SSE3.x or later).
Support for Microsoft® Visual Studio® 2010 Professional Edition and Minimalist GNU for Windows (MinGW) [GCC 4.4].
Support for GNU Compiler Collection (GCC) 4.1 or later on Linux® systems (Adds to existing support for GCC 4.3 or later).
Support for single-channel OpenCL™ image format.
Support for OpenCL™ / DirectX® 10 interoperability.
Support for additional double-precision floating point routines in OpenCL™ C kernels.
Support for generating and loading binary OpenCL™ kernels.
Support for native OpenCL™ kernels.
Preview Feature: Support for accessing additional physical memory on the GPU from OpenCL™ applications.
Preview Feature: Support for printf() in OpenCL™ C kernels.
Extension: Support for additional event states when registering event callbacks in OpenCL™ 1.1.
Additional OpenCL™ samples.
Package Update: ATI Stream Profiler 1.4.
Various OpenCL™ compiler and runtime fixes and enhancements.
Expanded OpenCL™ performance optimization guidelines in the ATI Stream SDK OpenCL™ Programming Guide.

The SDK and all documentation can be downloaded from http://developer.amd.com/stream.

Libra 1.2 includes new OpenCL back end

dom — Tue, 08 Jun 2010 23:04:29 +0000

GPU Systems has added an OpenCL back end implementation to its Libra Technology compiler and runtime architecture. Libra version 1.2 now supports x86/x64, OpenGL/OpenCL and CUDA compute back ends. The OpenCL back end generates dynamic code specifically for AMD GPUs. Also, the CUDA back end generator has been enhanced with Fermi capabilities and this new release brings full BLAS 1,2,3 matrix, vector, dense, sparse, complex, single/double standard math library functionality and access through a standard C programming interface & library. The high-level approach of the Libra API enables developers to easily extend existing high-level functionality from their favorite programming language.

The Libra 1.2 compute platform and ecosystem now supports a broad range of AMD and NVIDIA CPU & GPU compute devices, providing users a complete and dynamic cross-processor, cross-platform heterogeneous developer SDK & run-time environment. A Windows version is available for download.

Introductory Tutorial to OpenCL™ for HPC at SAAHPC’10

dom — Sun, 30 May 2010 21:42:37 +0000

AMD is offering an introductory tutorial to OpenCL™ that will be held alongside the 2010 Symposium on Application Accelerators in High Performance Computing (SAAHPC’10). The tutorial is a “programmer’s introduction” which covers the ideas behind OpenCL™ and their translation to source code.

Syllabus:

ATI Stream Computing
- Hardware Overview
- Software Ecosystem Overview
Heterogeneous Computing and the Origins of OpenCL™
OpenCL™ Overview
- Platform Model
- Execution Model
- Memory Model
- Programming Model
Exploring the Spec with Code: Embarrassingly Parallel
- Vector Addition: The Basic Platform Layer
- Sorting: Kernel Programming Language
Exploring the Spec with Code: Interacting Work-Items
- Optimizing Sort: Work-Groups and the Memory Model
A Survey of the Rest of OpenCL™
- Runtime Layer, Event Model, C++ Wrapper API
Simulating the Ocean

More information can be found here.