GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge

no code implementations • 15 Dec 2023 • Jose Duato, Jose I. Mestre, Manuel F. Dolz, Enrique S. Quintana-Ortí

The new AI system stores the information required to select the system subset for a given sample (referred to as structural information) separately from the linear model parameters (referred to as quantitative knowledge).

Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM

no code implementations • 31 Oct 2023 • Guillermo Alaejos, Adrián Castelló, Pedro Alonso-Jordá, Francisco D. Igual, Héctor Martínez, Enrique S. Quintana-Ortí

We explore the utilization of the Apache TVM open source framework to automatically generate a family of algorithms that follow the approach taken by popular linear algebra libraries, such as GotoBLAS2, BLIS and OpenBLAS, in order to obtain high-performance blocked formulations of the general matrix multiplication (GEMM).

Toward matrix multiplication for deep learning inference on the Xilinx Versal

no code implementations • 15 Feb 2023 • Jie Lei, José Flich, Enrique S. Quintana-Ortí

The remarkable positive impact of Deep Neural Networks on many Artificial Intelligence (AI) tasks has led to the development of various high performance algorithms as well as specialized processors and accelerators.

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