A survey on compiler autotuning using machine learning
Since the mid-1990s, researchers have been trying to use machine-learning-based
approaches to solve a number of different compiler optimization problems. These …
approaches to solve a number of different compiler optimization problems. These …
Reconfigurable hardware accelerators: Opportunities, trends, and challenges
With the emerging big data applications of Machine Learning, Speech Recognition, Artificial
Intelligence, and DNA Sequencing in recent years, computer architecture research …
Intelligence, and DNA Sequencing in recent years, computer architecture research …
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 …
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 …
Massively parallel skyline computation for processing-in-memory architectures
Processing-In-Memory (PIM) is an increasingly popular architecture aimed at addressing
the'memory wall'crisis by prioritizing the integration of processors within DRAM. It promotes …
the'memory wall'crisis by prioritizing the integration of processors within DRAM. It promotes …
Design space exploration for chiplet-assembly-based processors
S Pal, D Petrisko, R Kumar… - IEEE Transactions on Very …, 2020 - ieeexplore.ieee.org
Recent advancements in 2.5-D integration technologies have made chiplet assembly a
viable system design approach. Chiplet assembly is emerging as a new paradigm for …
viable system design approach. Chiplet assembly is emerging as a new paradigm for …
The COMPLEX reference framework for HW/SW co-design and power management supporting platform-based design-space exploration
The consideration of an embedded device's power consumption and its management is
increasingly important nowadays. Currently, it is not easily possible to integrate power …
increasingly important nowadays. Currently, it is not easily possible to integrate power …
Mlgoperf: An ml guided inliner to optimize performance
AH Ashouri, M Elhoushi, Y Hua, X Wang… - arXiv preprint arXiv …, 2022 - arxiv.org
For the past 25 years, we have witnessed an extensive application of Machine Learning to
the Compiler space; the selection and the phase-ordering problem. However, limited works …
the Compiler space; the selection and the phase-ordering problem. However, limited works …
Application autotuning to support runtime adaptivity in multicore architectures
In this work, we introduce an application autotuning framework to dynamically adapt
applications in multicore architectures. In particular, the framework exploits design-time …
applications in multicore architectures. In particular, the framework exploits design-time …