A real-time asymmetric multiprocessor-reconfigurable system-on-chip architecture

We propose an asymmetric multi-processor SoC architecture, featuring a master CPU running uClinux, and multiple loosely-coupled slave CPUs running real-time threads assigned by the master CPU. Real-time SoC architectures often demand a compromise between a generic platform for different applications, and application-specific customizations to achieve performance requirements. Our proposed architecture offers a generic platform running a conventional embedded operating system providing a traditional software-oriented development approach, while multiple slave CPUs act as a dedicated independent real-time threads execution unit running in parallel of master CPU to achieve performance requirements. In this paper, the architecture is described, including the application / threading development environment. The performance of the architecture with several standard benchmark routines is also analysed

Evaluating the impact of simultaneous multithreading on network servers using real hardware

This paper examines the performance of simultaneous multithreading (SMT) for network servers using actual hardware, multiple network server applications, and several workloads. Using three versions of the Intel Xeon processor with Hyper-Threading, we perform macroscopic analysis as well as microarchitectural measurements to understand the origins of the performance bottlenecks for SMT processors in these environments. The results of our evaluation suggest that the current SMT support in the Xeon is application and workload sensitive, and may not yield significant benefits for network servers. In general, we find that enabling SMT on real hardware usually produces only slight performance gains, and can sometimes lead to performance loss. In the uniprocessor case, previous studies appear to have neglected the OS overhead in switching from a uniprocessor kernel to an SMT-enabled kernel. The performance loss associated with such support is comparable to the gains provided by SMT. In the 2-way multiprocessor case, the higher number of memory references from SMT often causes the memory system to become the bottleneck, offsetting any processor utilization gains. This effect is compounded by the growing gap between processor speeds and memory latency. In trying to understand the large gains shown by simulation studies, we find that while the general trends for microarchitectural behavior agree with real hardware, differences in sizing assumptions and performance models yield much more optimistic benefits for SMT than we observe

Tutkimus virtualisoinnista ja energiatehokkuudesta Linuxilla

Virtualization has in recent years risen in popularity to the extent of changing the way information technology infrastructure in enterprise data centers is built. Once known as a technique to achieve time sharing between processes, virtualization now offers flexibility in resource usage and software deployment, security, and energy savings by consolidation of many virtualized servers into a single physical one. However, in its modern form, virtualization is still a relatively young technology. There are many studies regarding the performance of different virtualization technologies, but only a few emphasize energy efficiency. When information technology service providers invest in more server hardware, their energy expenses also rise. As optimization for energy efficiency becomes more and more important, possible power consumption overhead caused by virtualization will be an important factor when setting up virtualized servers. In this thesis we studied virtualization using Linux with focus on energy efficiency. We conducted sets of performance tests while measuring power consumption, and assessed how virtualization affects energy efficiency. The tests included synthetic tests and more practical web server tests, with single and multiple virtual machines. We tested various configurations to find out what one should generally note when building a virtualized environment with focus on energy efficiency. All of this was done using various virtualization technologies to find out their differences regarding energy efficiency. The tested technologies were KVM, Xen, and vSphere Hypervisor. With respect to energy efficiency or performance, we observed differences in virtualization technologies, and the same technology was not always the best in every situation. We found KVM to offer good energy efficiency, and Xen to have some trouble with recent Linux versions. In web server tests, the use of paravirtualization had almost no effect on power consumption. Processor performance states affected performance and energy efficiency. Power consumption had a tendency to be generally high with bare-metal virtual machine monitors Xen and vSphere Hypervisor. More research with a wider selection of test hardware and software is required to better define the setups and situations where this power consumption trend and the possible effect of paravirtualization on energy efficiency are observable