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ORCIDJorge Castro-Godínez
Person information
- affiliation: Costa Rica Institute of Technology (TEC), School of Electronics Engineering, Costa Rica
- affiliation (former, PhD 2021): Karlsruhe Institute of Technology, Germany
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2020 – today
- 2023
[j4]Luis G. León-Vega
, Eduardo Salazar-Villalobos, Alejandro Rodriguez-Figueroa, Jorge Castro-Godínez:
Automatic Generation of Resource and Accuracy Configurable Processing Elements. ACM Trans. Embed. Comput. Syst. 22(4): 75:1-75:27 (2023)- [c12]Prattay Chowdhury, Jorge Castro-Godínez, Benjamin Carrion Schafer:
Approximating HW Accelerators through Partial Extractions onto Shared Artificial Neural Networks. ASP-DAC 2023: 410-415 - [c11]Jorge Castro-Godínez, Muhammad Abdullah Hanif, Muhammad Shafique:
Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities. DSN-W 2023: 163-166 - [c10]Luis G. León-Vega, Jorge Castro-Godínez:
Generic Accuracy Configurable Matrix Multiplication-Addition Accelerator using HLS. DSN-W 2023: 171-174 - 2022
- [c9]Morgana Macedo Azevedo da Rosa, Guilherme Paim, Jorge Castro-Godínez, Eduardo A. C. da Costa, Rafael Iankowski Soares, Sergio Bampi:
AxRSU: Approximate Radix-4 Squarer Unit. ISCAS 2022: 1655-1659 - [c8]Brunno A. Abreu, Guilherme Paim, Jorge Castro-Godínez, Mateus Grellert, Sergio Bampi:
On the Netlist Gate-level Pruning for Tree-based Machine Learning Accelerators. LASCAS 2022: 1-4 - 2021
- [b1]Jorge Castro-Godínez:
Automated Design of Approximate Accelerators. Karlsruhe Institute of Technology, Germany, 2021 - [j3]Jorge Castro-Godínez, Humberto Barrantes-García, Muhammad Shafique, Jörg Henkel:
AxLS: A Framework for Approximate Logic Synthesis Based on Netlist Transformations. IEEE Trans. Circuits Syst. II Express Briefs 68(8): 2845-2849 (2021) - [j2]Nadir Khan, Jorge Castro-Godínez, Shixiang Xue, Jörg Henkel, Jürgen Becker:
Automatic Floorplanning and Standalone Generation of Bitstream-Level IP Cores. IEEE Trans. Very Large Scale Integr. Syst. 29(1): 38-50 (2021) - [c7]Tanfer Alan, Jorge Castro-Godínez, Jörg Henkel:
Multiple approximate instances in neural processing units for energy-efficient circuit synthesis: work-in-progress. CASES 2021: 3-5 - [c6]Jeferson González-Gómez, Steven Ávila-Ardón, Jonathan Rojas-González, Andres Stephen-Cantillano, Jorge Castro-Godínez, Carlos Salazar-García, Muhammad Shafique, Jörg Henkel:
TailoredCore: Generating Application-Specific RISC-V-based Cores. LASCAS 2021: 1-4 - 2020
- [c5]Jorge Castro-Godínez, Muhammad Shafique, Jörg Henkel:
Towards Quality-Driven Approximate Software Generation for Accurate Hardware: Work-in-Progress. CASES 2020: 12-14 - [c4]Jorge Castro-Godínez, Julián Mateus-Vargas, Muhammad Shafique, Jörg Henkel:
AxHLS: Design Space Exploration and High-Level Synthesis of Approximate Accelerators using Approximate Functional Units and Analytical Models. ICCAD 2020: 117:1-117:9 - [c3]Jorge Castro-Godínez, Deykel Hernández-Araya, Muhammad Shafique, Jörg Henkel:
Approximate Acceleration for CNN-based Applications on IoT Edge Devices. LASCAS 2020: 1-4 - [c2]Deykel Hernández-Araya, Jorge Castro-Godínez, Muhammad Shafique, Jörg Henkel:
AUGER: A Tool for Generating Approximate Arithmetic Circuits. LASCAS 2020: 1-4
2010 – 2019
- 2019
- [j1]Jorge Castro-Godínez, Muhammad Shafique, Jörg Henkel:
ECAx: Balancing Error Correction Costs in Approximate Accelerators. ACM Trans. Embed. Comput. Syst. 18(5s): 48:1-48:20 (2019) - 2018
- [c1]Jorge Castro-Godínez, Sven Esser, Muhammad Shafique, Santiago Pagani, Jörg Henkel:
Compiler-driven error analysis for designing approximate accelerators. DATE 2018: 1027-1032
Coauthor Index
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