We leverage the power and expressiveness of the polyhedral compilation model to develop a multi-objective optimization system for off-chip communications ...
The next step in polyhedral program optimization is to compute a transformation for the program. Such a transformation captures, in a single step, what may ...
Feb 12, 2013 · HLS/ESL tools have made great progresses (ex: AutoESL/Vivado). ▷ But still extensive manual effort needed for best performance.
Many applications, such as medical imaging, generate intensive data traffic between the FPGA and off-chip memory. Significant improvements in the execution ...
PolyOpt/HLS is a polyhedral loop optimization framework dedicated to data reuse optimization for High-Level Synthesis, integrated in the ROSE compiler.
Polyhedral-Based Data Reuse Optimization for Configurable Computing. Main menu. Home · People · Projects · Publications · Preprints · Software · News · Events ...
Polyhedral-based data reuse optimization for configurable computing. LN Pouchet, P Zhang, P Sadayappan, J Cong. Proceedings of the ACM/SIGDA international ...
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Polyhedral-based data reuse optimization for configurable computing. LN Pouchet, P Zhang, P Sadayappan, J Cong. Proceedings of the ACM/SIGDA international ...
In this paper, we show that combining polyhedral analyses with sampling can outperform both purely polyhedral and sampling-based techniques. As Section II ...
Pouchet, P. Zhang, P. Sadayappan, and J. Cong, “Polyhedral-based data reuse optimization for configurable computing,” in FPGA, 2013.