Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more

三、创建Oracle用户和组 [root@FSWWOA /]# groupadd dba [root@FSWWOA /]# groupadd oinstall #添加用户 [root@FSWWOA /]# useradd -g oinstall -G dba oracle #设置Oracle的密码 [root@FSWWOA /]# pwd oracle oracle >oracle 四、修改系统参数 4.1、修改用户的SHELL的限制 修改/etc/security/limits.conf文件 vi /etc/security/limits.conf 然后在文件中添加如下内容 oracle soft nproc 2047 oracle hard nproc 16384 oracle soft nofile 1024 oracle hard nofile 65536 4.2、修改/etc/pam.d/login 文件 vi /etc/pam.d/login 然后在文件中添加如下内容 session required /lib/security/pam_limits.so session required pam_limits.so

在区块链赋能的移动边缘计算（BMEC）系统中，针对各类新型计算任务并行性需求的差异，提出了一种基于异构计算的BMEC系统模型，通过调用异构计算架构中并行计算能力不同的处理器，实现区块链业务与用户业务的高效处理。通过综合考虑异构处理器调度、计算资源分配以及带宽资源分配，将通信及计算资源受限下的系统效用最大化问题建模为混合整数非线性问题。为了快速求解该问题，将所提模型进一步解耦为业务驱动的异构处理器调度问题和资源联合分配问题，并提出了基于拉格朗日对偶理论的联合优化算法。仿真结果表明，所提算法可以有效提升BMEC系统的系统效用。

天河一号-异构通用计算环境,用于学习和了解大规模并行集群的构架环境。

EhGrid模拟异构计算网格均匀集群。

OpenCL异构计算（中文版）-推荐

异构计算中一种图的非均衡划分算法.pdf

提供opencl的第一手资料，详尽阐述了如何在异构环境下进行并行编程。第1章首先介绍如何在并行系统下编程，定义异构编程需要理解的概念。第2～4章循序渐进地介绍opencl的基本架构。第5章和第6章对这些概念加以扩展，旨在帮助读者更好地理解。第7~10章提供4个更复杂的案例学习，让读者理解到opencl具有广泛的应用。第11~13章锁定高级主题展开讨论。 本书可帮助学生和研究人员更好地理解通用异构计算(尤其是opencl提供的解决方案)，尤其是适合不同经验水平的学生，可以作为opencl课程的教材或其他课程的参考，例如并行编程课程和高级课程。

SpMV在CPU–GPU异构计算系统上的混合计算方法

自动驾驶异构计算及操作系统研究报告