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ShareScore release 0.9.0
Dataset results
5 results for “High-Level Synthesis”
High-level Synthesis of Fine-grained Weakly Consistent C Concurrency
<p>This repository consists of all the experimental data of PhD thesis funded by EPSRC. </p>
Polyhedral-based Dynamic Loop Pipelining for High-Level Synthesis
<p>This data set contains the results presented in the paper "Polyhedral-based Dynamic Loop Pipelining for High-Level Synthesis", to be published in the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).</p>
Area-Efficient Memory Scheduling for Dynamically Scheduled High-Level Synthesis
<p>Dataset for Area-Efficient Memory Scheduling for Dynamically Scheduled High-Level Synthesis</p>
Dataset for Probabilistic Optimization for High-Level Synthesis
<p>High-level synthesis (HLS) tools automatically transform a high-level program, for example in C/C++ into a low-level hardware description. A key challenge in HLS tools is scheduling, i.e. determining the start time of all the operations in the untimed program. There are three approaches to scheduling: static, dynamic and hybrid. A major shortcoming of existing approaches to scheduling is that the tools either assume the worst-case timing behaviour, which can cause significant performance loss or area overhead, or use simulation-based approaches, where can cause significant time to explore a large number of program traces. </p> <p>To rectify this, we propose a probabilistic model to efficiently explore timing behaviour of HLS hardware from all these scheduling approaches. We show how to model the hardware behaviour into Petri nets for performance analysis. Our framework offers insights to assist hardware engineers and HLS tools in setting their expectations of the hardware performance from the input code and performing optimal hardware optimisation. </p> <p>As a particular application, we show how to automatically infer the optimal initiation interval~(II) for statically-scheduled components forming part of a dynamically-scheduled circuit. An empirical evaluation on a range of benchmarks suggests that by using this approach, on average we achieve 9x speedup for estimating an optimal II with 2% overhead in area-delay product (ADP) compared to the design with an II by exhaustive search, while the static analysis in Vitis HLS causes 112% ADP overhead and the throughput analysis in Dynamatic causes 17% ADP overhead.</p>
Datasets for Combining Dynamic & Static Scheduling in High-level Synthesis
<p>Benchmark datasets for Combining Dynamic & Static Scheduling in High-level Synthesis.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.