2015 International Conference on Field Programmable Technology (FPT) 2015
DOI: 10.1109/fpt.2015.7393129
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Using source-to-source compilation to instrument circuits for debug with High Level Synthesis

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Cited by 8 publications
(8 citation statements)
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“…3) An evaluation and a validation of the proposed framework on a set of OpenCL benchmarks are performed. On the reported benchmarks, the average logic resource requirement is between 1.5 and 6 times lower than those reported in best previously published works [23] [24] [25].…”
Section: Introductionmentioning
confidence: 57%
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“…3) An evaluation and a validation of the proposed framework on a set of OpenCL benchmarks are performed. On the reported benchmarks, the average logic resource requirement is between 1.5 and 6 times lower than those reported in best previously published works [23] [24] [25].…”
Section: Introductionmentioning
confidence: 57%
“…Table 6 compares the logic resource overhead per instrument of our framework to those of previous works. The logic area overhead shows that our framework consumes on average 6 times fewer FFs and almost 1.5 times fewer ALUTs than the best previously published work [23] in terms of logic overhead when one instrument is inserted. For example, the average relative Flip-Flop utilization overhead (compared to the original design) in our experiments is 0.10 %, which can be compared to the value of 0.6 % in [23], while the average logic element (LE(LU)) utilization is 2.5% in [25].…”
Section: Framework Comparisonmentioning
confidence: 84%
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“…RELATED WORK overall productivity. Some other works [43,45,97] also target using trace buffers to record the insitu of HLS-generated designs, but provide different features to enhance the visibility of design. For example, Monson [43] proposes the use of Event Observability Port (EOP), which is essentially a top-level RTL port that corresponds to the output of a specific expression in the original source, to provide observability of source-level events from the corresponding HLS-generated hardware.…”
Section: Execution-based Discrepancymentioning
confidence: 99%