Qualcomm has released a new version of Snapdragon Profiler, the mobile performance profiling tool that runs on the Windows, Mac, and Linux platforms. The release includes various bug fixes, a new Analysis mode, new Trace metrics across various SoC subsystems, and an experimental feature allowing developers to use the latest profiler updates for graphics profiling without having to update mobile drivers. Also included are fixes for various issues in Snapshot affecting EGL images and improved metric calculations for OpenCL applications.
Codeplay are excited to again be attending and sponsoring the annual OpenCL conference IWOCL on the 14th – 16th May in Oxford, UK. Codeplay is looking to meet new and old faces from the OpenCL and SYCL community, so if you are attending come and say "hello". The team will be wearing their Codeplay t-shirts and hoodies and will be easy to spot. Learn more about the IWOCL conference and what Codeplay is presenting.
Khronos Group promoter member NVIDIA has released the GeForce 397.31 driver. This driver release provides full support for the new Vulkan 1.1 API and passes the Vulkan Conformance Test Suite (CTS) version 188.8.131.52. As well, this driver supports OpenCL 1.2 and OpenGL 4.6.
The Khronos Group is once again sponsoring the The International Workshop on OpenCL (IWOCL). An annual meeting of OpenCL application developers, researchers and suppliers coming together to share OpenCL best practice and to promote the evolution and advancement of the OpenCL standard. Distributed & Heterogeneous Programming for C/C++ (DHPCC++) will take place on the workshop track of the IWOCL with #IWOCL2018 being held in Oxford, UK, on May 14-16, 2018. Learn more about IWOCL 2018 and Register today.
Enterprises should find it easier to tap the benefits of FPGAs now that Dell EMC and Fujitsu are putting Intel Arria 10 GX Programmable Acceleration Cards into off-the-shelf servers for the data center. The Arria 10 GX cards offers the Intel FPGA SDK for OpenCL to help ease programming hurdles. Xilinx has also been building up the software stack for its own FPGA product families, and recently announced what it calls a new category of programmable chip – the Adaptive Compute Acceleration Platform (ACAP). It says that developers can work with ACAPS using standard tools like C/C++, OpenCL, and Python.
This blog will give a quick run through of the SYCL profiling features that have been developed in the latest version of LPGPU2 CodeXL. LPGPU2 CodeXL is not yet available to the public but it was made available to the LPGPU2 consortium during February 2018. It is the aim to make a version of CodeXL with SYCL profiling features available when the project is completed.
VeriSilicon today announced significant milestones have been achieved for its versatile and highly scalable neural network inference engine family VIP8000. The fully programmable VIP8000 processors reach the performance and memory efficiency of dedicated fixed-function logic with the customizability and future proofing of full programmability in OpenCL, OpenVX, and a wide range of NN frameworks including NNEF. “The biggest thing to happen in the computer industry since the PC is AI and machine learning, it will truly revolutionize, empower, and improve our lives. It can be done in giant machines from IBM and Google, and in tiny chips made with VeriSilicon’s neural network processors,” said Dr. Jon Peddie, president Jon Peddie Research. “By 2020 we will wonder how we ever lived without our AI assistants,” he added.
Khronos member Renesas Electronics has outlined their plans for ADAS and self-driving cars. Renesas is working with Codeplay Software Ltd., experts in high-performance compilers and software optimization for multi-core processing. The collaboration allows programs already written in CUDA for Nvidia’s SoC to be brought to R-Car SoCs, using Codeplay’s OpenCL open standard-based software framework. The framework, first made available on R-Car H3 as a proof of concept, is now coming to the R-Car V3M and other R-Car SoCs of Renesas’ autonomous platform for both ADAS and automated driving.
Codeplay has written up a detailed run through of how they how they ensure C++ fundamental types are translated correctly from SYCL code through to OpenCL, retaining their correct size and signedness.
If you're an application developer, this will help you learn a little about how SYCL works under the hood. If you're looking to implement SYCL, this will help you find a way to get the compiler to do your lifting for you.