塔式起重机监控装置的设计及应用研究

为杜绝塔式起重机在楼宇建筑施工过程中发生事故,提高其安全系数,采用ARM9处理器、多传感器采集、GPRS无线通讯和视频监控等先进技术,设计开发塔式起重机监控记录系统,该系统具有完备的实时数据远程监控报警功能、稳定的显示性能及友好的界面,为塔机高效安全作业提供切实保障.     

Multi-core optimization for conjugate gradient benchmark on heterogeneous processors

Developing parallel applications on heterogeneous processors is facing the challenges of ‘memory wall’, due to limited capacity of local storage, limited bandwidth and long latency for memory access. Aiming at this problem, a parallelization approach was proposed with six memory optimization schemes for CG, four schemes of them aiming at all kinds of sparse matrix-vector multiplication (SPMV) operation. Conducted on IBM QS20, the parallelization approach can reach up to 21 and 133 times speedups with size A and B, respectively, compared with single power processor element. Finally, the conclusion is drawn that the peak bandwidth of memory access on Cell BE can be obtained in SPMV, simple computation is more efficient on heterogeneous processors and loop-unrolling can hide local storage access latency while executing scalar operation on SIMD cores.     

面向FT1000微处理器的STREAM并行计算与优化

STREAM是微处理器上内存性能的基准测试程序,在多核多线程FT1000微处理器上发挥高性能是具有挑战性的研究工作。基于多级Cache结构,优化STREAM四个程序的指令流水线,根据寄存器数,设计了多级循环展开方法,根据指令延迟和Cache行的大小确定数据预取的数目,使用汇编语言编写了优化子程序。基于OpenMP并行环境,设计了STREAM并行程序,优化了局部化数据分配方式。数据测试结果表明,优化后的STREAM的性能比原始串行程序性能提高了19.2%~64.2%。优化后,并行程序的最高访存性能达到8.5 GB/s,对比优化前的最高访存性能最大提高了22.7%。     

基于OMAP处理器的核间通信机制设计与实现

为满足嵌入式多核数控系统高速、高精的应用需求,针对现有多核通信延迟过高、通信数据量过小等不足,研究基于ARM与DSP双核架构嵌入式数控系统,设计并实现一种基于该数控系统平台的多核数据通信机制。该通信机制基于共享内存实现,包括硬件驱动实现、内存划分、通信同步、共享缓存池建立以及通信协议搭建等关键部分。针对双核间数据传输延迟和数据传输量2个影响系统性能的重要参数开展实验测试,并于实际数控系统环境进行应用测试,结果表明,该通信方法可满足ARM与DSP双核架构的嵌入式数控系统2 MB数据通信量与20 ms通信延迟的性能需求。     

重用感知的非一致缓存迁移策略研究

随着工艺的持续进步,多核处理器集成了越来越多的核以及片上缓存系统,因此利用非一致缓存架构(NUCA)应对片上多核处理器的缓存系统中逐渐增大的线延迟。高效的缓存块迁移策略对整个缓存系统至关重要。当前动态非一致缓存架构(D-NUCA)中的缓存块迁移策略未考虑缓存块的历史访问信息,导致缓存块在不同的bank之间抖动从而增加缓存块的访问延迟。为此,提出一种重用感知的缓存块迁移(RABM)策略,采用缓存块的历史迁移信息来预测将来的缓存块迁移,从而提升D-NUCA的性能以及降低整个缓存系统的功耗。基于PARSEC基准测试程序的全系统仿真结果显示,与D-NUCA相比,基于RABM的D-NUCA可以使每时钟周期指令数平均提高9.6%,片上缓存系统功耗降低14%。     

A novel heterogeneous algorithm to simulate multiphase flow in porous media on multicore CPU–GPU systems

Multiphase flow implementations of the lattice Boltzmann method (LBM) are widely applied to the study of porous medium systems. In this work, we construct a new variant of the popular “color” LBM for two-phase flow in which a three-dimensional, 19-velocity (D3Q19) lattice is used to compute the momentum transport solution while a three-dimensional, seven velocity (D3Q7) lattice is used to compute the mass transport solution. Based on this formulation, we implement a novel heterogeneous GPU-accelerated algorithm in which the mass transport solution is computed by multiple shared memory CPU cores programmed using OpenMP while a concurrent solution of the momentum transport is performed using a GPU. The heterogeneous solution is demonstrated to provide speedup of 2.6×$2.6\times$ as compared to multi-core CPU solution and 1.8×$1.8\times$ compared to GPU solution due to concurrent utilization of both CPU and GPU bandwidths. Furthermore, we verify that the proposed formulation provides an accurate physical representation of multiphase flow processes and demonstrate that the approach can be applied to perform heterogeneous simulations of two-phase flow in porous media using a typical GPU-accelerated workstation.     

基于OMAPL138智能台区终端的设计

介绍一种基于OMAPL138智能台区终端的整体设计方案,详细阐述了整个系统的硬件设计以及双核架构的软件开发流程。该方案兼有DSP和ARM的优点,不仅提升了终端的整体性能,其片内总线架构也解决了CPU之间通讯瓶颈的问题。     

Cloud-Sea Computing Systems: Towards Thousand-Fold Improvement in Performance per Watt for the Coming Zettabyte Era

We are entering a new era of computing, characterized by the need to handle over one zettabyte （1021 bytes, or ZB） of data. The world＇s capacities to sense, transmit, store, and process information need to grow three orders of magnitude, while maintain an energy consumption level similar to that of the year 2010. In other words, we need to produce thousand-fold improvement in performance per watt. To face this challenge, in 2012 the Chinese Academy of Sciences launched a 10-year strategic priority research initiative called the Next Generation Information and Communication Technology initiative （the NICT initiative）. A research thrust of the NICT program is the Cloud-Sea Computing Systems project. The main idea is to augment conventional cloud computing by cooperation and integration of the cloud-side systems and the sea-side systems, where the ＂sea-side＂ refers to an augmented client side consisting of human facing and physical world facing devices and subsystems. The Cloud-Sea Computing Systems project consists of four research tasks： a new computing model called REST 2.0 which extends the REST （representational state transfer） architectural style of Web computing to cloud-sea computing, a three-tier storage system architecture capable of managing ZB of data, a billion-thread datacenter server with high energy efficiency, and an elastic processor aiming at energy efficiency of one trillion operations per second per watt. This special section contains 12 papers produced by the Cloud-Sea Computing Systems project team, presenting research results relating to sensing and REST 2.0, the elastic processor, the hyperparallel server, and the cloud-sea storage.     

基于多核处理器的高清内窥镜视频处理系统

设计一个基于TILE-Gx多核处理器的高清医用电子内窥镜视频处理系统。该系统支持2路1080p60高清视频输入输出,以及1路YCb Cr422格式高清视频的实时H.264编解码,利用现场可编程门阵列为高清视频数据提供输入输出接口,采用4片TILE-Gx多核处理器进行H.264编码解码运算,并使用1片TILE-Gx多核处理器完成系统控制、视频拼接和数据存储转发功能。实验结果表明,该系统的编解码性能满足医用内窥镜的高分辨率和实时性需求,图像质量达到了H.264的High Profile级别。     

面向多核处理器的共享cache优化研究进展

由于技术的发展,片上多核处理器上的核数量和片上缓存的大小一直在增长,且缓存占据了芯片的大部分面积,使得片上缓存所消耗的能量成为存储器子系统中功率损耗的主要贡献者,因此对片上缓存进行优化是提高存储器系统效率的主要途径,增强了片上多核处理器的运算性能.针对共享缓存的管理、一致性等方面介绍了共享缓存的主流优化技术,并探讨了未来的研究方向.