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Daniel S. Poznanovic

dblp:88/1066 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Reconfigurable computing and FPGAs · 50% High-performance computing · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Reconfigurable computing and FPGAs
high-performance reconfigurable computing
0.112006
Reconfigurable supercomputing - Is high-performance reconfigurable computing the next supercomputing paradigm? · SC 2006
High-performance computing
scientific computing
0.112006
Reconfigurable supercomputing - Is high-performance reconfigurable computing the next supercomputing paradigm? · SC 2006
YearPublicationVenuePosition
2008 OpenFPGA CoreLib core library interoperability effort
Michael J. Wirthlin, Daniel S. Poznanovic, P. Sundararajan, Alan J. Coppola, D. Pellerin, Walid A. Najjar, R. Bruce, M. Babst, O. Pritchard, Paolo Palazzari, Georgi Kuzmanov
Parallel Comput.2
2006 Reconfigurable supercomputing - Is high-performance reconfigurable computing the next supercomputing paradigm?
abstract
High-Performance Reconfigurable Computers (HPRCs) based on the combination of conventional processors and FPGAs have been gaining attention in the past few years. Their benefits were particularly harnessed in compute-intensive integer applications. However, there has been doubt that the same benefits can be attained for general scientific applications. Fortunately, the trend in reconfigurable chip sizes and diversity of resources may be relieving some of those concerns. Yet, with the hardware reconfigurability, it is feared that domain scientists have to learn how to design hardware if they were to use such machines effectively. In order to address the overarching question, this panel will address the following questions: Can FPGAs deliver order-of-magnitude performance gains in scientific floating-point applications in the foreseeable future? Can programming HPRCs programmability become similar to that of HPCs in its level of difficulty? What are the major developments in the industry or the community that make all this possible?
Tarek A. El-Ghazawi, Dave Bennett, Daniel S. Poznanovic, Allan Cantle, Keith D. Underwood, Rob Pennington, Duncan A. Buell, Alan D. George, Volodymyr V. Kindratenko
SC3
2004 Effective system and performance benchmarking for reconfigurable computers
abstract
Applications running on a reconfigurable computer can be divided into two major categories: computationally intensive and input/output intensive. In the first case, the input and output are limited, and therefore the performance of the reconfigurable computer depends primarily on the power of the FPGAs, and the capability to exploit parallelism available in a given application. In the second case, the execution time is dominated by input/output, and therefore, an application cannot process data faster than the speed of its slowest input/output channel. The focus of This work is on developing micro-benchmarks to characterize the behavior of various communication channels within reconfigurable computers for the second class of applications. The paper defines a system of 'paper and pencil' micro-benchmarks for the measurement of maximum throughput and minimum latency in the communication between various components of a generic reconfigurable system. The results help to dynamically characterize a reconfigurable machine and the SRC 6E reconfigurable computer is used as a test case to validate the proposed model.
Esmail Chitalwala, Tarek A. El-Ghazawi, Kris Gaj, Nikitas A. Alexandridis, Daniel S. Poznanovic
FPT5