Abstract: To further enhance the capacity of next generation wireless communication systems, massive MIMO has recently appeared as a necessary enabling technology to achieve high performance signal processing for large-scale multiple antennas. However, massive MIMO systems inevitably generate signal processing overheads, which translate into ever-increasing rate of complexity, and therefore, such system may not maintain the inherent real-time requirement of wireless systems. We redesign the non-linear sphere decoder method to increase the performance of the system, cast most memory-bound computations into compute-bound operations to reduce the overall complexity, and maintain the real-time processing thanks to the GPU computational power. We show a comprehensive complexity and performance analysis on an unprecedented MIMO system scale, which can ease the design phase toward simulating future massive MIMO wireless systems.

Abstract: Testing is a significant software development process for the management of software system and scientific code. However, many scientific codes have become much more complicated, which means there are extra needs to check the changes positively impact dependent modules and additional needs to verify the system constraints. The software complexity also impediments module developers and software engineers to rapidly develop and extend their code. Recently, we have developed an automatic methodology and prototype platform to facilitate scientific verification of individual functions within complex scientific codes, so that, the science module builders are able to track variables conveniently in one module or track variables changes among different modules. In this paper, we present a procedure for automatic unit testing generation. For the interest of general audience of this conference, we place emphasis on the technical details of integrating the In Situ data Infrastructure into our platform. At the end of this paper, we have included an implementation of the unit testing for ACME Land Model (ALM) to demonstrate the usefulness and correctness of the platform. We’ve also used single point check and multi point check to demonstrate the easy variable tracking capability of this platform.

Abstract: A cryptographic sequence generator, the modified self-shrinking generator (MSSG), was recently designed as a novel version of the self-shrinking generator. Taking advantage of the cryptographic properties of the irregularly decimated generator class, the MSSG was mainly created to be used in stream cipher applications and hardware implementations. Nevertheless, in this work it is shown that the MSSG output sequence, the so-called modified self-shrunken sequence, is generated as one of the output sequences of a linear model based on Cellular Automata that use rule 60 for their computations. Thus, the linearity of these structures can be advantageous exploited to recover the complete modified self-shrunken sequence from a number of intercepted bits.

Abstract: Denoising filters, such as bilateral, guided, and total variation filters, applied to images on general graphs may require repeated Application if noise is not small enough. We formulate two acceleration techniques of the resulted iterations: conjugate gradient method and Nesterov's acceleration. We numerically show efficiency of the accelerated nonlinear filters for image denoising and demonstrate 2-12 times speed-up, i.e., the acceleration techniques reduce the number of iterations required to reach a given peak signal-to-noise ratio (PSNR) by the above indicated factor of 2-12.