Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Hung-Manh Pham

dblp:04/7942 · DBLP profile ↗
← Back
3ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none

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

Systems, architecture and hardware · 3 · 2 first-authorSoftware engineering, systems software and programming languages · 1

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
Hardware reliability and fault tolerance · 70% Reconfigurable computing and FPGAs · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware reliability and fault tolerance › soft errors
single-event upset mitigation
0.212013
Low-Overhead Fault-Tolerance Technique for a Dynamically Reconfigurable Softcore Processor · IEEE Trans. Computers 2013
Hardware reliability and fault tolerance
soft errors
0.212013
Low-Overhead Fault-Tolerance Technique for a Dynamically Reconfigurable Softcore Processor · IEEE Trans. Computers 2013
Reconfigurable computing and FPGAs › FPGA architecture
SRAM-based FPGA
0.212013
Low-Overhead Fault-Tolerance Technique for a Dynamically Reconfigurable Softcore Processor · IEEE Trans. Computers 2013
Hardware reliability and fault tolerance › redundancy › modular redundancy
triple modular redundancy
0.012013
Low-Overhead Fault-Tolerance Technique for a Dynamically Reconfigurable Softcore Processor · IEEE Trans. Computers 2013

Methods — techniques the papers use, named apart from their topics

partial reconfiguration · 0.2fault injection · 0.2checkpointing and rollback · 0.2
YearPublicationVenuePosition
2013 Low-Overhead Fault-Tolerance Technique for a Dynamically Reconfigurable Softcore Processor
abstract
In this paper, we propose a new approach to implement a reliable softcore processor on SRAM-based FPGAs, which can mitigate radiation-induced temporary faults (single-event upsets (SEUs)) at moderate cost. A new Enhanced Lockstep scheme built using a pair of MicroBlaze cores is proposed and implemented on Xilinx Virtex-5 FPGA. Unlike the basic lockstep scheme, ours allows to detect and eliminate its internal temporary configuration upsets without interrupting normal functioning. Faults are detected and eliminated using a Configuration Engine built on the basis of the PicoBlaze core which, to avoid a single point of failure, is implemented as fault-tolerant using triple modular redundancy (TMR). A softcore processor can recover from configuration upsets through partial reconfiguration combined with roll-forward recovery. SEUs affecting logic which are significantly less likely than those affecting configuration are handled by checkpointing and rollback. Finally, to handle permanent faults, the tiling technique is also proposed. The new Enhanced Lockstep scheme requires significantly shorter error recovery time compared to conventional lockstep scheme and uses significantly smaller number of slices compared to known TMR-based design (although at the cost of longer error recovery time). The efficiency of the proposed approach was validated through fault injection experiments.
Hung-Manh Pham, Sébastien Pillement, Stanislaw J. Piestrak
IEEE Trans. Computers1
2012 UPaRC - Ultra-fast power-aware reconfiguration controller
abstract
Dynamically reconfigurable architectures, which can offer high performance, are increasingly used in different domains. High-speed reconfiguration process can be carried out by operating at high frequency but can also augment the power consumption. Thus the effort on increasing performance by accelerating the reconfiguration should take into account power consumption constraints. In this paper, we present an ultra-fast power-aware reconfiguration controller (UPaRC) to boost the reconfiguration throughput up to 1.433 GB/s. UPaRC can not only enhance the system performance, but also auto-adapt to various performance and consumption conditions. This could enlarge the range of applications and optimize for each selected application during run-time. An investigation of reconfiguration bandwidths at different frequencies and with different bitstream sizes are experimentally quantified and presented. The power consumption measurements are also realized to emphasize energy-efficiency of UPaRC over state-of-the-art reconfiguration controllers-up to 45 times more efficient.
Robin Bonamy, Hung-Manh Pham, Sébastien Pillement, Daniel Chillet
DATE2
2010 Evaluation of Fault-Mitigation Schemes for Fault-Tolerant Dynamic MPSoC
abstract
One trend dealing with the growing computational power needs is to implement multi-processor system-on-a-chip (MPSoC) using Commercial Off-The-Shelf (COTS) partially reconfigurable architectures. However the low Non-Recurring Engineering (NRE) cost solution provided by commercial FPGAs must take into account the high sensitivity to electronic defects. Fault-tolerance schemes, which prevent their architectures from being defective during products life-time, can decrease the system computing power. Therefore, building such fault-tolerant system needs an analytical model to analyze the effect of fault mitigation schemes on the system performance. This paper presents an analytical approach for a fault-tolerant dynamic multi-processor system-on-a-chip (FT-DyMPSoC) which is able to resist to predominant fault in FPGAs - Single Event Upset. The analytical model is introduced to assess the performance, the reliability and the trade-off of a fault-tolerant MPSoC system. Several comparisons with classical fault-tolerance solutions to enhance our solution advantages are also given.
Hung-Manh Pham, Sébastien Pillement, Didier Demigny
FPL1