Khronos Releases OpenCL 2.0 Provisional Specification for Public Review
New generation of industry open standard for cross-platform parallel programming delivers increased flexibility, functionality and performance

July 22nd 2013 – SIGGRAPH - Anaheim, CA – The Khronos™ Group today announced the ratification and public release of the OpenCL™ 2.0 provisional specification. OpenCL 2.0 is a significant evolution of the open, royalty-free standard that is designed to further simplify cross-platform, parallel programming while enabling a significantly richer range of algorithms and programming patterns to be easily accelerated. As the foundation for these increased capabilities, OpenCL 2.0 defines an enhanced execution model and a subset of the C11 and C++11 memory model, synchronization and atomic operations. The release of the specification in provisional form is to enable developers and implementers to provide feedback before specification finalization, which is expected within 6 months. The OpenCL 2.0 provisional specification and reference cards are available at www.khronos.org/opencl/.

“The OpenCL working group has combined developer feedback with emerging hardware capabilities to create a state-of–the-art parallel programming platform - OpenCL 2.0,” said Neil Trevett, chair of the OpenCL working group, president of the Khronos Group and vice president of mobile content at NVIDIA. “OpenCL continues to gather momentum on both desktop and mobile devices. In addition to enabling application developers it is providing foundational, portable acceleration for middleware libraries, engines and higher-level programming languages that need to take advantage of heterogeneous compute resources including CPUs, GPUs, DSPs and FPGAs.

Updates and additions to OpenCL 2.0 include:

Shared Virtual Memory
Host and device kernels can directly share complex, pointer-containing data structures such as trees and linked lists, providing significant programming flexibility and eliminating costly data transfers between host and devices.

Dynamic Parallelism
Device kernels can enqueue kernels to the same device with no host interaction, enabling flexible work scheduling paradigms and avoiding the need to transfer execution control and data between the device and host, often significantly offloading host processor bottlenecks.

Generic Address Space
Functions can be written without specifying a named address space for arguments, especially useful for those arguments that are declared to be a pointer to a type, eliminating the need for multiple functions to be written for each named address space used in an application.

Images
Improved image support including sRGB images and 3D image writes, the ability for kernels to read from and write to the same image, and the creation of OpenCL images from a mip-mapped or a multi-sampled OpenGL texture for improved OpenGL interop.

C11 Atomics
A subset of C11 atomics and synchronization operations to enable assignments in one work-item to be visible to other work-items in a work-group, across work-groups executing on a device or for sharing data between the OpenCL device and host.

Pipes
Pipes are memory objects that store data organized as a FIFO and OpenCL 2.0 provides built-in functions for kernels to read from or write to a pipe, providing straightforward programming of pipe data structures that can be highly optimized by OpenCL implementers.

Android Installable Client Driver Extension
Enables OpenCL implementations to be discovered and loaded as a shared object on Android systems.

OpenCL BOF at SIGGRAPH, Anaheim, CA July 24th 2013
There is an OpenCL BOF “Birds of a Feather” Meeting on Wednesday July 24th at 4-5PM at the Hilton Anaheim, California Ballroom A & B, where attendees are invited to meet OpenCL implementers and developers and learn more about the new OpenCL 2.0 specification.