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Posts

Sep, 17

Efficient softmax approximation for GPUs

We propose an approximate strategy to efficiently train neural network based language models over very large vocabularies. Our approach, called adaptive softmax, circumvents the linear dependency on the vocabulary size by exploiting the unbalanced word distribution to form clusters that explicitly minimize the expectation of computational complexity. Our approach further reduces the computational cost by […]
Sep, 17

Finding faint HI structure in and around galaxies: scraping the barrel

Soon to be operational HI survey instruments such as APERTIF and ASKAP will produce large datasets. These surveys will provide information about the HI in and around hundreds of galaxies with a typical signal-to-noise ratio of ~10 in the inner regions and ~1 in the outer regions. In addition, such surveys will make it possible […]
Sep, 16

Agent-Based Modeling on High Performance Computing Architectures

In spatial agent-based models (SABMs) each entity of the system being modeled is uniquely represented as an independent agent. Large scale emergent behavior in SABMs is population sensitive. Thus, the number of agents should reflect the system being modeled, which can be in the order of billions. Models can be decomposed such that each component […]
Sep, 13

Data Analysis of Minimally-Structured Heterogeneous Logs: An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes

Nowadays, the ideas of continuous integration and continuous delivery are under heavy usage in order to achieve rapid software development speed and quick product delivery to the customers with good quality. During the process ofmodern software development, the testing stage has always been with great significance so that the delivered software is meeting all the […]
Sep, 13

OpenMP as a High-Level Specification Language for Parallelism And its use in Evaluating Parallel Programming Systems

While OpenMP is the de facto standard of shared memory parallel programming models, a number of alternative programming models and runtime systems have arisen in recent years. Fairly evaluating these programming systems can be challenging and can require significant manual effort on the part of researchers. However, it is important to facilitate these comparisons as […]
Sep, 13

An efficient numerical method for solving the Boltzmann equation in multidimensions

In this paper we deal with the extension of the Fast Kinetic Scheme (FKS) [J. Comput. Phys., Vol. 255, 2013, pp 680-698] originally constructed for solving the BGK equation, to the more challenging case of the Boltzmann equation. The scheme combines a robust and fast method for treating the transport part based on an innovative […]
Sep, 13

Scheduling of Linear Algebra Kernels on Multiple Heterogeneous Resources

In this paper, we consider task-based dense linear algebra applications on a single heterogeneous node which contains regular CPU cores and a set of GPU devices. Efficient scheduling strategies are crucial in this context in order to achieve good and portable performance. HeteroPrio, a resource-centric dynamic scheduling strategy has been introduced in a previous work […]
Sep, 13

A New Architecture for Optimization Modeling Frameworks

We propose a new architecture for optimization modeling frameworks in which solvers are expressed as computation graphs in a framework like TensorFlow rather than as standalone programs built on a low-level linear algebra interface. Our new architecture makes it easy for modeling frameworks to support high performance computational platforms like GPUs and distributed clusters, as […]
Sep, 10

An Implementation of Real-Time Phased Array Radar Fundamental Functions on a DSP-Focused, High-Performance, Embedded Computing Platform

This paper investigates the feasibility of a backend design for real-time, multiple-channel processing digital phased array system, particularly for high-performance embedded computing platforms constructed of general purpose digital signal processors. First, we obtained the lab-scale backend performance benchmark from simulating beamforming, pulse compression, and Doppler filtering based on a Micro Telecom Computing Architecture (MTCA) chassis […]
Sep, 10

GPU-ArraySort: A parallel, in-place algorithm for sorting large number of arrays

Modern day analytics deals with big datasets from diverse fields. For many application the data is in the form of an array which consists of large number of smaller arrays. Existing techniques focus on sorting a single large array and cannot be used for sorting large number of smaller arrays in an efficient manner. Currently […]
Sep, 10

System Design Principles for Heterogeneous Resource Management and Scheduling in Accelerator-Based Systems

Accelerator-based systems are making rapid inroads into becoming platforms of choice for both high end cloud services and processing irregular applications like real-world graph analytics due to their high scalability and low dollar to FLOPS ratios. Yet GPUs are not first class schedulable entities causing substantial hardware resource underutilization, including their computational and data movement […]
Sep, 10

3D Object Recognition with Convolutional Neural Networks

In this work, we propose the implementation of a 3D object recognition system using Convolutional Neural Networks. For that purpose, we first analyzed the theoretical foundations of that kind of neural networks. Next, we discussed ways of representing 3D data in a compact and structured manner to feed the neural network. Those representations consist of […]
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