sycl

Possible ComputeCPP SYCL bug reading nested buffers

由 穿精又带淫゛_ 提交于 2020-01-17 01:16:11
问题 I am trying to access a data structure with multiple levels of indirection on the GPU. The example hierarchy that I have now is A contains B contains C. Each contains data. A contains a pointer to B, B contains a pointer to C. When a heap-allocated data structure containing accessors is deallocated, the SYCL implementation segfaults in the accessors' destructors. When BView is destroyed, the segfault occurs. I am using the ComputeCPP implementation for Ubuntu. This seems like a bug in the

Is there a way I can create an array of cl::sycl::pipe?

由 二次信任 提交于 2019-12-24 09:51:46
问题 I am using the Xilinx's triSYCL github implementation,https://github.com/triSYCL/triSYCL. I am trying to create a design with 100 cl::sycl::pipes each with capacity= 6 . And I am gonna access each pipe through a separate thread in my SYCL code. Here is what I tried: constexpr int T = 6; constexpr int n_threads = 100; cl::sycl::pipe<cl::sycl::pipe<float>> p { n_threads, cl::sycl::pipe<float> { T } }; for (int j=0; j<n_threads; j++) { q.submit([&](cl::sycl::handler &cgh) { // Get write access

What is the optimum OpenCL 2 kernel to sum floats?

由 空扰寡人 提交于 2019-12-24 03:32:36
问题 C++ 17 introduced a number of new algorithms to support parallel execution, in particular std::reduce is a parallel version of std::accumulate which permits non-deterministic behaviour for non-commutative operations, such as floating point addition. I want to implement a reduce algorithm using OpenCL 2. Intel have an example here which uses OpenCL 2 work group kernel functions to implement a std::exclusive_scan OpenCL 2 kernel. Below is kernel to sum floats, based on Intel's exclusive_scan

/usr/local/cuda-8.0/lib64/libOpenCL.so.1: no version information available

由 孤街浪徒 提交于 2019-12-11 18:35:35
问题 When I am running computecpp_info $ /usr/local/computecpp/bin/computecpp_info /usr/local/computecpp/bin/computecpp_info: /usr/local/cuda-8.0/lib64/libOpenCL.so.1: no version information available (required by /usr/local/computecpp/bin/computecpp_info) /usr/local/computecpp/bin/computecpp_info: /usr/local/cuda-8.0/lib64/libOpenCL.so.1: no version information available (required by /usr/local/computecpp/bin/computecpp_info) ***********************************************************************

terminate called after throwing an instance of 'cl::sycl::detail::exception_implementation<(cl::sycl::detail::exception_types)9>'

由 ε祈祈猫儿з 提交于 2019-12-11 05:06:19
问题 I am newbie in SYCL/OpenCL/GPGPU. I am trying to build and run sample code of constant addition program , #include <iostream> #include <array> #include <algorithm> #include <CL/sycl.hpp> namespace sycl = cl::sycl; //<<Define ConstantAdder>> template<typename T, typename Acc, size_t N> class ConstantAdder { public: ConstantAdder(Acc accessor, T val) : accessor(accessor) , val(val) {} void operator() () { for (size_t i = 0; i < N; i++) { accessor[i] += val; } } private: Acc accessor; const T

SYCL exception caught: Error: [ComputeCpp:RT0101] Failed to create kernel ((Kernel Name: SYCL_class_multiply))

由 删除回忆录丶 提交于 2019-12-02 12:16:33
问题 I cloned https://github.com/codeplaysoftware/computecpp-sdk.git and modified the computecpp-sdk/samples/accessors/accessors.cpp file. I just added std::cout << "SYCL exception caught: " << e.get_cl_code() << '\n'; . See the fully modified code : /*************************************************************************** * * Copyright (C) 2016 Codeplay Software Limited * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the

SYCL exception caught: Error: [ComputeCpp:RT0101] Failed to create kernel ((Kernel Name: SYCL_class_multiply))

由 喜欢而已 提交于 2019-12-02 06:41:07
I cloned https://github.com/codeplaysoftware/computecpp-sdk.git and modified the computecpp-sdk/samples/accessors/accessors.cpp file. I just added std::cout << "SYCL exception caught: " << e.get_cl_code() << '\n'; . See the fully modified code : /*************************************************************************** * * Copyright (C) 2016 Codeplay Software Limited * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * *
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