João P. L. de Carvalho

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Code Generation

Top Venues

ACM Trans. Archit. Code Optim.

Publications

Caio Salvador Rohwedder, João P. L. de Carvalho, José Nelson Amaral
Region-Based Data Layout via Data Reuse Analysis. CC (2024)
Braedy Kuzma, Ivan Korostelev, João P. L. de Carvalho, José E. Moreira, Christopher Barton, Guido Araujo, José Nelson Amaral
Fast matrix multiplication via compiler-only layered data reorganization and intrinsic lowering. Softw. Pract. Exp. 53 (9) (2023)
Braedy Kuzma, Ivan Korostelev, João P. L. de Carvalho, José E. Moreira, Christopher Barton, Guido Araujo, José Nelson Amaral
Fast Matrix Multiplication via Compiler-only Layered Data Reorganization and Intrinsic Lowering. CoRR (2023)
Tyler Gobran, João P. L. de Carvalho, Christopher Barton
DASS: Dynamic Adaptive Sub-Target Specialization. SBAC-PADW (2023)
Rouzbeh Paktinatkeleshteri, João P. L. de Carvalho, Ehsan Amiri, José Nelson Amaral
Efficient Auto-Vectorization for Control-flow Dependent Loops through Data Permutation. CASCON (2023)
Caio Salvador Rohwedder, Nathan Henderson, João P. L. de Carvalho, Yufei Chen, José Nelson Amaral
To Pack or Not to Pack: A Generalized Packing Analysis and Transformation. CGO (2023)
Victor Ferrari, Rafael C. F. Sousa, Marcio Pereira, João P. L. de Carvalho, José Nelson Amaral, José E. Moreira, Guido Araujo
Advancing Direct Convolution using Convolution Slicing Optimization and ISA Extensions. CoRR (2023)
Nathan Henderson, Iain Ireland, Matthew Gaudet, João P. L. de Carvalho, José Nelson Amaral
Stub Folding: Retaining Type Specialization to Increase the Efficiency of Highly Polymorphic Inline Caches. CASCON (2023)
Bruno Chinelato Honorio, João P. L. de Carvalho, Catalina Munoz Morales, Alexandro Baldassin, Guido Araujo
Using Barrier Elision to Improve Transactional Code Generation. ACM Trans. Archit. Code Optim. 19 (3) (2022)
Wyatt Praharenka, David Pankratz, João P. L. de Carvalho, Ehsan Amiri, José Nelson Amaral
Vectorizing divergent control flow with active-lane consolidation on long-vector architectures. J. Supercomput. 78 (10) (2022)
João P. L. de Carvalho, José E. Moreira, José Nelson Amaral
Compiling for the IBM Matrix Engine for Enterprise Workloads. IEEE Micro 42 (5) (2022)
Victor Ferrari, Rafael C. F. Sousa, Marcio Pereira, João P. L. de Carvalho, José Nelson Amaral, Guido Araujo
Improving Convolution via Cache Hierarchy Tiling and Reduced Packing. PACT (2022)
Caio S. Rohwedder, João P. L. de Carvalho, José Nelson Amaral, Guido Araújo, Giancarlo Colmenares, Kai-Ting Amy Wang
Pooling Acceleration in the DaVinci Architecture Using Im2col and Col2im Instructions. IPDPS Workshops (2021)
João P. L. de Carvalho, Braedy Kuzma, Ivan Korostelev, José Nelson Amaral, Christopher Barton, José Moreira, Guido Araujo
KernelFaRer: Replacing Native-Code Idioms with High-Performance Library Calls. ACM Trans. Archit. Code Optim. 18 (3) (2021)
Bruno Chinelato Honorio, João P. L. de Carvalho, Munir S. Skaf, Guido Araujo
Using OpenMP to Detect and Speculate Dynamic DOALL Loops. IWOMP (2020)
João P. L. de Carvalho, Braedy Kuzma, Guido Araujo
Acceleration Opportunities in Linear Algebra Applications via Idiom Recognition. ICPE Companion (2020)
Aldo Culquicondor, Alexandro Baldassin, César Castelo-Fernández, João P. L. de Carvalho, João Paulo Papa
An efficient parallel implementation for training supervised optimum-path forest classifiers. Neurocomputing 393 (2020)
João P. L. de Carvalho, Bruno C. Honorio, Alexandro Baldassin, Guido Araujo
Improving Transactional Code Generation via Variable Annotation and Barrier Elision. IPDPS (2020)
Alexandro Baldassin, Rafael Murari, João P. L. de Carvalho, Guido Araujo, Daniel Castro, João Barreto, Paolo Romano
NV-PhTM: An Efficient Phase-Based Transactional System for Non-volatile Memory. Euro-Par (2020)
Bruno Chinelato Honorio, João P. L. de Carvalho, Alexandro José Baldassin
On the Efficiency of Transactional Code Generation: A GCC Case Study. WSCAD (2018)