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Essential Resources
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SYCL 2020 Provisional
Khronos has published the provisional version of the SYCL 2020 specification, click find out more.
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Browse Implementations
Click here to find out where to get all the available SYCL implementations from.
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Conformance Test Suite
The test suite is open source and hosted on GitHub. Contributions from the community to the CTS are welcome.
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SYCL Working Group
Visit the SYCL™ Khronos® working-group's home page to learn more about the SYCL technology.
News
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01 October 2020
oneAPI Academic Center of Excellence Opened at Heidelberg University
A oneAPI Academic Center of Excellence (CoE) is now established at the Heidelberg University Computing Center (URZ). The CoE will conduct research supporting the oneAPI industry initiative to create a uniform, open programming model for heterogeneous computer architectures.URZ’s work as a oneAPI CoE will add advanced DPC++ capabilities into hipSYCL, which supports systems based on AMD GPUs, NVIDIA GPUs, and CPUs....
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11 September 2020
Bringing SYCL to Supercomputers with Celerity
“This is where Celerity comes in. It is an open source project which focuses on providing a way of scaling applications to a cluster of accelerators without having to be an expert in distributed memory programming. In fact, the Celerity API does not make it apparent that a program is running on many nodes at all”
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25 August 2020
Brightskies Deploys Open Source RTM Application for Easy Optimization across Multiple Architectures
At Brightskies, headquartered in Alexandria, Egypt, engineering teams are focused on code optimization and cloud management for HPC applications in the oil and gas industry. Brightskies has partnered with multiple oil and gas companies and research institutions to optimize code and evolve how these companies model and use seismic data. RTM is a two-way, wave equation depth migration containing multiple...
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14 August 2020
Codeplay’s Contribution to SYCL 2020
Members of the team at Codeplay have been working to evolve the Khronos open standard SYCL for the past 7 years, and it’s exciting for the community to be able to see SYCL 2020, the latest version of the standard. In this blog engineers from Codeplay that are also contributors to the SYCL Working Group, the team that defines the...
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14 August 2020
Managing the Power and Promise of HPC
There is a momentum of movement towards SYCL, a Khronos® open-standard alternative, providing many of the standard C++ programming needs of scientists and other programmers. Companies like Codeplay have, in effect, reset the playing field. By clearly leading the definition of standards, companies can now use the same standard programming model with non-Nvidia processors, as well as Nvidia GPUs. This...
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Events
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Begins
in 1 month
SC20 - SuperComputing
About Location: Online Dates: 9th November to 19th November 2020 Website: supercomputing.org Join the SYCL tutorial at SC20. Details TBD.
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Begins
2 weeks ago
Parallelism in Modern C++: From CPU to GPU
About Location: Aurora, CO, USA Dates: Sep 2020 13-18 Website: cppcon.org CppCon is the annual, week-long face-to-face gathering for the entire C++ community. The conference is organized by the C+...
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Begins
3 weeks ago
Embedded Vision: Deploying AI Software to Embedded Devices Using Open Standards
About Location: Virtual Conference Dates: Sep 2020 10-24 Website: embeddedvisionsummit.com The world of AI & HPC is dominated by closed, proprietary software models. To get high performance to...
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Get SYCL
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ComputeCpp™
ComputeCpp is SYCL v1.2.1 conformant. It is Codeplay Software's implementation of the standard and is available to download today.
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triSYCL
triSYCL is an open-source implementation test-bed to experiment with the specification of the OpenCL SYCL 2.2 C++ layer and to give feedback to the Khronos group.
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hipSYCL
The goal of the hipSYCL project is to develop a SYCL 1.2.1 implementation that builds upon NVIDIA CUDA/AMD HIP.
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DPC++ and oneAPI
Data Parallel C++ (DPC++) is an evolution of C++ that incorporates SYCL. The SYCL Compiler compiles C++-based SYCL source files with code for both CPU and a wide range of compute accelerators.
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