Concept
Architecture Dataflow
Publications associées (84)
DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD
Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Pengbo Yu, Flavio Ponzina
Machine learning algorithms such as Convolutional Neural Networks (CNNs) are characterized by high robustness towards quantization, supporting small-bitwidth fixed-point arithmetic at inference time with little to no degradation in accuracy. In turn, small ...
2024Design Space Exploration for Partitioning Dataflow Program on CPU-GPU Heterogeneous System
Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch
Dataflow programming is a methodology that enables the development of high-level, parametric programs that are independent of the underlying platform. This approach is particularly useful for heterogeneous platforms, as it eliminates the need to rewrite ap ...
SPRINGER2023Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms
Aurélien François Gilbert Bloch
Today's continued increase in demand for processing power, despite the slowdown of Moore's law, has led to an increase in processor count, which has resulted in energy consumption and distribution problems. To address this, there is a growing trend toward ...
EPFL2023SIMD Parallel Execution on GPU from High-Level Dataflow Synthesis
Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch
Writing and optimizing application software for heterogeneous platforms including GPU units is a very difficult task that requires designer efforts and resources to consider several key elements to obtain good performance. Dataflow programming has shown to ...
2022