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Energy storage technologies that are connected to medium- or low-voltage distribution systems are referred to as Distributed Energy Storage (DES). DES are becoming more common as the storage technologies are becoming cheaper. Energy stored on the distribution system, whether it is generated by Distributed Generation (DG) or central generation units, could provide crucial services (such as load leveling,...
The slow progress in memory access latencies in comparison to CPU speeds has resulted in memory accesses dominating code performance. While architectural enhancements have benefited applications with data locality and sequential access, random memory access still remains a cause for concern. Several benchmarks have been proposed to evaluate the random memory access performance on multicore architectures...
Existing algorithms for global snapshots in distributed systems are not scalable when the underlying topology is complete. There are primarily two classes of existing algorithms for computing a global snapshot. Algorithms in the first class use control messages of size 0(1) but require O(N) space and O(N) messages per processor in a network with JV processors. Algorithms in the second class use control...
In this paper we examine the key elements determining the performance of the HPC Challenge RandomAccess benchmark on next generation supercomputers. We find that the performance of this benchmark is closely related to the bisection bandwidth of the underlying communication network, performance of integer divide operation and details of benchmark specifications such as error tolerance and permissible...
All-to-all communication is a well known performance bottleneck for many applications, such as the ones that use the Fast-Fourier-transform (FFT) algorithm. We analyze the performance of all-to-all communication on the BlueGene/L torus interconnect that has link contention even for all-to-all operations with short messages. We observed that the performance of all-to-all depends on the shape of the...
In this paper we identify important opportunities for parallelization in the least-squares Monte Carlo (LSM) algorithm, due to Longstaff and Schwartz, for the pricing of American options. The LSM method can be divided into three phases: path-simulation, calibration and valuation. We describe how each of these phases can be parallelized, with more focus on the calibration phase, which is inherently...
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