Volodymyr V. Kindratenko

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Several high-performance computers now use field-programmable gate arrays as reconfigurable coprocessors. The authors describe the two major contemporary HPRC architectures and explore the pros and cons of each using representative applications from remote sensing, molecular dynamics, bioinformatics, and cryptanalysis.
Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenges. In this paper, we present our efforts to address some of the challenges with building and running GPU clusters in HPC environments. We touch upon such issues as balanced cluster(More)
In this paper, a systematic review of various contour functions and methods of their analysis, as applied in the field of shape description and characterization, is presented. Contour functions are derived from planar object outlines and are used as an intermediate representation from which various shape properties can be obtained. All the functions are(More)
This paper contains details on a project aimed to provide location-aware value-added services to the participants of an academic conference. The major characteristic of this project is the fusion of RFID technology, database management, data mining, real-time information visualization, and interactive web application technologies into an operational(More)
This paper is a comprehensive survey of various techniques used to calibrate electromagnetic position tracking systems. A common framework is established to present the calibration problem as the interpolation problem in 3D. All the known calibration techniques are classified into local and global methods and grouped according to their mathematical models.(More)
We present a heterogeneous multi-accelerator cluster developed and deployed at NCSA. The cluster consists of 16 AMD dual-core CPU compute nodes each with four NVIDIA GPUs and one Xilinx FPGA. Cluster nodes are interconnected with both InfiniBand and Ethernet networks. The software stack consists of standard cluster tools with the addition of(More)
We present an inexpensive hardware system for monitoring power usage of individual CPU hosts and externally attached GPUs in HPC clusters and the software stack for integrating the power usage data streamed in real-time by the power monitoring hardware with the cluster management software tools. We introduce a measure for quantifying the overall improvement(More)
H igh-performance reconfigurable computers (HPRCs) 1,2 based on conventional processors and field-programmable gate arrays (FPGAs) 3 have been gaining the attention of the high-performance computing community in the past few years. 4 These synergistic systems have the potential to exploit coarse-grained functional parallelism as well as fine-grained(More)
—NVIDIA GPUs are becoming increasingly popular in scientific computation as a way to accelerate the execution of computationally demanding codes. The graphics memory used in GPUs is not protected against soft errors that may be caused by cosmic radiation and thus is a source of concern for the scientific computing community. In this short paper we report on(More)
HPC system architectures are shifting from the traditional clusters of homogeneous nodes to clusters of heterogeneous nodes and accelerators. The future of high-performance computing (HPC) from the technologies developed today to showcase the leadership-class compute systems, the supercomputers. These machines are usually designed to achieve the highest(More)