João P. L. de Carvalho

According to our database, João P. L. de Carvalho authored at least 26 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Region-Based Data Layout via Data Reuse Analysis.

Caio Salvador Rohwedder, João P. L. de Carvalho, José Nelson Amaral

Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction, 2024

2023

Advancing Direct Convolution Using Convolution Slicing Optimization and ISA Extensions.

Victor Ferrari, Rafael Cardoso Fernandes Sousa, Márcio Machado Pereira, Joao P. L. de Carvalho, José Nelson Amaral, José E. Moreira, Guido Araujo

ACM Trans. Archit. Code Optim., December, 2023

Fast matrix multiplication via compiler-only layered data reorganization and intrinsic lowering.

Braedy Kuzma, Ivan Korostelev, João P. L. de Carvalho, José E. Moreira, Christopher Barton, Guido Araujo, José Nelson Amaral

Softw. Pract. Exp., September, 2023

YaConv: Convolution with Low Cache Footprint.

Ivan Korostelev, Joao P. L. de Carvalho, José E. Moreira, José Nelson Amaral

ACM Trans. Archit. Code Optim., March, 2023

On the impact of mode transition on phased transactional memory performance.

Catalina Munoz Morales, Bruno C. Honorio, Joao P. L. de Carvalho, Alexandro Baldassin, Guido Araujo

J. Parallel Distributed Comput., March, 2023

DASS: Dynamic Adaptive Sub-Target Specialization.

Tyler Gobran, João P. L. de Carvalho, Christopher Barton

Proceedings of the International Symposium on Computer Architecture and High Performance Computing Workshops , 2023

To Pack or Not to Pack: A Generalized Packing Analysis and Transformation.

Caio Salvador Rohwedder, Nathan Henderson, João P. L. de Carvalho, Yufei Chen, José Nelson Amaral

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization, 2023

Efficient Auto-Vectorization for Control-flow Dependent Loops through Data Permutation.

Rouzbeh Paktinatkeleshteri, João P. L. de Carvalho, Ehsan Amiri, José Nelson Amaral

Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

Stub Folding: Retaining Type Specialization to Increase the Efficiency of Highly Polymorphic Inline Caches.

Nathan Henderson, Iain Ireland, Matthew Gaudet, João P. L. de Carvalho, José Nelson Amaral

Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

2022

Vectorizing divergent control flow with active-lane consolidation on long-vector architectures.

Wyatt Praharenka, David Pankratz, João P. L. de Carvalho, Ehsan Amiri, José Nelson Amaral

J. Supercomput., 2022

Using Barrier Elision to Improve Transactional Code Generation.

Bruno Chinelato Honorio, João P. L. de Carvalho, Catalina Munoz Morales, Alexandro Baldassin, Guido Araujo

ACM Trans. Archit. Code Optim., 2022

Compiling for the IBM Matrix Engine for Enterprise Workloads.

João P. L. de Carvalho, José E. Moreira, José Nelson Amaral

IEEE Micro, 2022

Improving Convolution via Cache Hierarchy Tiling and Reduced Packing.

Victor Ferrari, Rafael C. F. Sousa, Márcio Machado Pereira, João P. L. de Carvalho, José Nelson Amaral, Guido Araujo

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

KernelFaRer: Replacing Native-Code Idioms with High-Performance Library Calls.

João P. L. de Carvalho, Braedy Kuzma, Ivan Korostelev, José Nelson Amaral, Christopher Barton, José E. Moreira, Guido Araujo

ACM Trans. Archit. Code Optim., 2021

Pooling Acceleration in the DaVinci Architecture Using Im2col and Col2im Instructions.

Caio S. Rohwedder, João P. L. de Carvalho, José Nelson Amaral, Guido Araújo, Giancarlo Colmenares, Kai-Ting Amy Wang

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Accelerating Graph Applications Using Phased Transactional Memory.

Catalina Munoz Morales, Rafael Murari, Joao P. L. de Carvalho, Bruno Chinelato Honorio, Alexandro Baldassin, Guido Araujo

Proceedings of the Euro-Par 2021: Parallel Processing, 2021

2020

An efficient parallel implementation for training supervised optimum-path forest classifiers.

Aldo Culquicondor, Alexandro Baldassin, César Castelo-Fernández, João P. L. de Carvalho, João Paulo Papa

Neurocomputing, 2020

Acceleration Opportunities in Linear Algebra Applications via Idiom Recognition.

João P. L. de Carvalho, Braedy Kuzma, Guido Araujo

Proceedings of the Companion of the 2020 ACM/SPEC International Conference on Performance Engineering, 2020

Using OpenMP to Detect and Speculate Dynamic DOALL Loops.

Bruno Chinelato Honorio, João P. L. de Carvalho, Munir S. Skaf, Guido Araujo

Proceedings of the OpenMP: Portable Multi-Level Parallelism on Modern Systems, 2020

Improving Transactional Code Generation via Variable Annotation and Barrier Elision.

João P. L. de Carvalho, Bruno C. Honorio, Alexandro Baldassin, Guido Araujo

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

NV-PhTM: An Efficient Phase-Based Transactional System for Non-volatile Memory.

Alexandro Baldassin, Rafael Murari, João P. L. de Carvalho, Guido Araujo, Daniel Castro, João Barreto, Paolo Romano

Proceedings of the Euro-Par 2020: Parallel Processing, 2020

2019

The Case for Phase-Based Transactional Memory.

Joao P. L. de Carvalho, Guido Araujo, Alexandro Baldassin

IEEE Trans. Parallel Distributed Syst., 2019

2018

On the Efficiency of Transactional Code Generation: A GCC Case Study.

Bruno Chinelato Honorio, João P. L. de Carvalho, Alexandro José Baldassin

Proceedings of the Symposium on High Performance Computing Systems, 2018

DOACROSS Parallelization Based on Component Annotation and Loop-Carried Probability.

Luis Mattos, Divino Cesar S. Lucas, Juan Salamanca, Joao P. L. de Carvalho, Márcio Machado Pereira, Guido Araujo

Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

2017

Revisiting phased transactional memory.

Joao P. L. de Carvalho, Guido Araujo, Alexandro Baldassin

Proceedings of the International Conference on Supercomputing, 2017

2012

Energy-Performance Tradeoffs in Software Transactional Memory.

Alexandro Baldassin, Joao P. L. de Carvalho, Leonardo A. G. Garcia, Rodolfo Azevedo

Proceedings of the IEEE 24th International Symposium on Computer Architecture and High Performance Computing, 2012