MLCAD: A survey of research in machine learning for CAD keynote paper
Due to the increasing size of integrated circuits (ICs), their design and optimization phases
(ie, computer-aided design, CAD) grow increasingly complex. At design time, a large design …
(ie, computer-aided design, CAD) grow increasingly complex. At design time, a large design …
On learning-based methods for design-space exploration with high-level synthesis
HY Liu, LP Carloni - Proceedings of the 50th annual design automation …, 2013 - dl.acm.org
This paper makes several contributions to address the challenge of supervising HLS tools
for design space exploration (DSE). We present a study on the application of learning-based …
for design space exploration (DSE). We present a study on the application of learning-based …
Learning-based application-agnostic 3D NoC design for heterogeneous manycore systems
The rising use of deep learning and other big-data algorithms has led to an increasing
demand for hardware platforms that are computationally powerful, yet energy-efficient. Due …
demand for hardware platforms that are computationally powerful, yet energy-efficient. Due …
Graph neural networks for high-level synthesis design space exploration
High-level Synthesis (HLS) Design-Space Exploration (DSE) aims at identifying Pareto-
optimal synthesis configurations whose exhaustive search is unfeasible due to the design …
optimal synthesis configurations whose exhaustive search is unfeasible due to the design …
Lattice-traversing design space exploration for high level synthesis
This paper describes a design space exploration methodology for High Level Synthesis
(HLS) frameworks. Inputs of HLS tools are a description (usually in C/C++) of the …
(HLS) frameworks. Inputs of HLS tools are a description (usually in C/C++) of the …
FIST: A feature-importance sampling and tree-based method for automatic design flow parameter tuning
Design flow parameters are of utmost importance to chip design quality and require a
painfully long time to evaluate their effects. In reality, flow parameter tuning is usually …
painfully long time to evaluate their effects. In reality, flow parameter tuning is usually …
The COMPLEX methodology for UML/MARTE Modeling and design space exploration of embedded systems
The design of embedded systems is being challenged by their growing complexity and tight
performance requirements. This paper presents the COMPLEX UML/MARTE Design Space …
performance requirements. This paper presents the COMPLEX UML/MARTE Design Space …
MOOS: A multi-objective design space exploration and optimization framework for NoC enabled manycore systems
The growing needs of emerging applications has posed significant challenges for the design
of optimized manycore systems. Network-on-Chip (NoC) enables the integration of a large …
of optimized manycore systems. Network-on-Chip (NoC) enables the integration of a large …
A learning-based recommender system for autotuning design flows of industrial high-performance processors
Logic synthesis and physical design (LSPD) tools automate complex design tasks
previously performed by human designers. One time-consuming task that remains manual is …
previously performed by human designers. One time-consuming task that remains manual is …
SPIRIT: Spectral-aware Pareto iterative refinement optimization for supervised high-level synthesis
Supervised high-level synthesis (HLS) is a new class of design problems where exploration
strategies play the role of supervisor for tuning an HLS engine. The complexity of the …
strategies play the role of supervisor for tuning an HLS engine. The complexity of the …