Compiler-directed power optimization of high-performance interconnection networks for load-balancing MPI applications

2007 ◽  
Vol 1 (1) ◽  
pp. 94-105
Author(s):  
Xuejun Yang ◽  
Huizhan Yi ◽  
Xiangli Qu ◽  
Haifang Zhou
Author(s):  
A. Ferrerón Labari ◽  
D. Suárez Gracia ◽  
V. Viñals Yúfera

In the last years, embedded systems have evolved so that they offer capabilities we could only find before in high performance systems. Portable devices already have multiprocessors on-chip (such as PowerPC 476FP or ARM Cortex A9 MP), usually multi-threaded, and a powerful multi-level cache memory hierarchy on-chip. As most of these systems are battery-powered, the power consumption becomes a critical issue. Achieving high performance and low power consumption is a high complexity challenge where some proposals have been already made. Suarez et al. proposed a new cache hierarchy on-chip, the LP-NUCA (Low Power NUCA), which is able to reduce the access latency taking advantage of NUCA (Non-Uniform Cache Architectures) properties. The key points are decoupling the functionality, and utilizing three specialized networks on-chip. This structure has been proved to be efficient for data hierarchies, achieving a good performance and reducing the energy consumption. On the other hand, instruction caches have different requirements and characteristics than data caches, contradicting the low-power embedded systems requirements, especially in SMT (simultaneous multi-threading) environments. We want to study the benefits of utilizing small tiled caches for the instruction hierarchy, so we propose a new design, ID-LP-NUCAs. Thus, we need to re-evaluate completely our previous design in terms of structure design, interconnection networks (including topologies, flow control and routing), content management (with special interest in hardware/software content allocation policies), and structure sharing. In CMP environments (chip multiprocessors) with parallel workloads, coherence plays an important role, and must be taken into consideration.


Author(s):  
Jagdish Chandra Patni

Powerful computational capabilities and resource availability at a low cost is the utmost demand for high performance computing. The resources for computing can viewed as the edges of an interconnected grid. It can attain the capabilities of grid computing by balancing the load at various levels. Since the nature of resources are heterogeneous and distributed geographically, the grid computing paradigm in its original form cannot be used to meet the requirements, so it can use the capabilities of the cloud and other technologies to achieve the goal. Resource heterogeneity makes grid computing more dynamic and challenging. Therefore, in this article the problem of scalability, heterogeneity and adaptability of grid computing is discussed with a perspective of providing high computing, load balancing and availability of resources.


2020 ◽  
Vol 58 (1) ◽  
pp. 62-67
Author(s):  
Jun Zhao ◽  
Zhichuan Guo ◽  
Xuewen Zeng ◽  
Mangu Song

2020 ◽  
Vol 31 (02) ◽  
pp. 233-252
Author(s):  
Yuejuan Han ◽  
Lantao You ◽  
Cheng-Kuan Lin ◽  
Jianxi Fan

The topology properties of multi-processors interconnection networks are important to the performance of high performance computers. The hypercube network [Formula: see text] has been proved to be one of the most popular interconnection networks. The [Formula: see text]-dimensional locally twisted cube [Formula: see text] is an important variant of [Formula: see text]. Fault diameter and wide diameter are two communication performance evaluation parameters of a network. Let [Formula: see text]), [Formula: see text] and [Formula: see text] denote the diameter, the [Formula: see text] fault diameter and the wide diameter of [Formula: see text], respectively. In this paper, we prove that [Formula: see text] if [Formula: see text] is an odd integer with [Formula: see text], [Formula: see text] if [Formula: see text] is an even integer with [Formula: see text].


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