PUBLICACIÓN

Tensor-Accelerated Fourth-Order Epistasis Detection on GPUs

ACCEDER A LA PUBLICACIÓN: Scopus

Nobre R.; Ilic A.; Santander-Jimenez S.; Sousa L.

2022 ACM International Conference Proceeding Series

CITAS

4

DOI

10.1145/3545008.3545066

EID

2-s2.0-85148642275

ISBN

9781450397339

AUTORES DE LA UEX

Sergio Santander Jiménez

OTRAS PUBLICACIONES DE INTERÉS

Inferring Phylogenetic Trees Using A Multiobjective Artificial Bee Colony Algorithm
Multi-Objective Swarm-Intelligence Algorithm For Document Clustering
Reference Vector-Guided Evolutionary Algorithm For Cluster Analysis Of Single-Cell Transcriptomes
Multi-Objective Swarm-Intelligence Algorithm For Document Clustering
Reference Vector-Guided Evolutionary Algorithm For Cluster Analysis Of Single-Cell Transcriptomes
A Multi-Objective Metaheuristic Approach For Generating Cell Type Marker Panels From Single-Cell Transcriptomics
Reference Vector-Guided Evolutionary Algorithm For Cluster Analysis Of Single-Cell Transcriptomes
A Multi-Objective Metaheuristic Approach For Generating Cell Type Marker Panels From Single-Cell Transcriptomics
A Multi-Objective Artificial Bee Colony Approach For Identifying Cancer Driver Pathways
A Multi-Objective Metaheuristic Approach For Generating Cell Type Marker Panels From Single-Cell Transcriptomics
A Multi-Objective Artificial Bee Colony Approach For Identifying Cancer Driver Pathways
Multi-Objective Genetic Algorithm With Maximum-Entropy Classification And Domain-Specific Evolutionary Operators For Microorganism Selection On Microbiomes
A Multi-Objective Artificial Bee Colony Approach For Identifying Cancer Driver Pathways
Multi-Objective Genetic Algorithm With Maximum-Entropy Classification And Domain-Specific Evolutionary Operators For Microorganism Selection On Microbiomes
Multi-Threaded Simd Strategies And Frequency Scaling For Sustainable Evolutionary Biology
Multi-Objective Genetic Algorithm With Maximum-Entropy Classification And Domain-Specific Evolutionary Operators For Microorganism Selection On Microbiomes
Multi-Threaded Simd Strategies And Frequency Scaling For Sustainable Evolutionary Biology
Offline And Online Peer Assessment In Computer Engineering: Insights From A 5-Year Experience
Multi-Threaded Simd Strategies And Frequency Scaling For Sustainable Evolutionary Biology
Offline And Online Peer Assessment In Computer Engineering: Insights From A 5-Year Experience
Gadpo: Genetic Algorithm Based On Dominance For Primer Optimization
Offline And Online Peer Assessment In Computer Engineering: Insights From A 5-Year Experience
Gadpo: Genetic Algorithm Based On Dominance For Primer Optimization
Ipu-Epidet: Identifying Gene Interactions On Massively Parallel Graph-Based Ai Accelerators
Gadpo: Genetic Algorithm Based On Dominance For Primer Optimization
Ipu-Epidet: Identifying Gene Interactions On Massively Parallel Graph-Based Ai Accelerators
Explorando Metodologías De Evaluación Por Pares Offline Y Online En Ingeniería Informática
Ipu-Epidet: Identifying Gene Interactions On Massively Parallel Graph-Based Ai Accelerators
Explorando Metodologías De Evaluación Por Pares Offline Y Online En Ingeniería Informática
A Multi-Objective Butterfly Optimization Algorithm For Protein Encoding
Explorando Metodologías De Evaluación Por Pares Offline Y Online En Ingeniería Informática
A Multi-Objective Butterfly Optimization Algorithm For Protein Encoding
Interpreting High Order Epistasis Using Sparse Transformers
A Multi-Objective Butterfly Optimization Algorithm For Protein Encoding
Interpreting High Order Epistasis Using Sparse Transformers
Inter-Algorithm Multiobjective Cooperation For Phylogenetic Reconstruction On Amino Acid Data
Interpreting High Order Epistasis Using Sparse Transformers
Inter-Algorithm Multiobjective Cooperation For Phylogenetic Reconstruction On Amino Acid Data
Parallel Multi-Objective Optimization Approaches For Protein Encoding
Inter-Algorithm Multiobjective Cooperation For Phylogenetic Reconstruction On Amino Acid Data
Parallel Multi-Objective Optimization Approaches For Protein Encoding
Exploiting Multi-Level Parallel Metaheuristics And Heterogeneous Computing To Boost Phylogenetics
Parallel Multi-Objective Optimization Approaches For Protein Encoding
Exploiting Multi-Level Parallel Metaheuristics And Heterogeneous Computing To Boost Phylogenetics
Phylomissforest: A Random Forest Framework To Construct Phylogenetic Trees With Missing Data
Exploiting Multi-Level Parallel Metaheuristics And Heterogeneous Computing To Boost Phylogenetics
Phylomissforest: A Random Forest Framework To Construct Phylogenetic Trees With Missing Data
Unlocking Personalized Healthcare On Modern Cpus/gpus: Three-Way Gene Interaction Study
Phylomissforest: A Random Forest Framework To Construct Phylogenetic Trees With Missing Data
Unlocking Personalized Healthcare On Modern Cpus/gpus: Three-Way Gene Interaction Study
Unlocking Personalized Healthcare On Modern Cpus/gpus: Three-Way Gene Interaction Study
Unlocking Personalized Healthcare On Modern Cpus/gpus: Three-Way Gene Interaction Study
Unlocking Personalized Healthcare On Modern Cpus/gpus: Three-Way Gene Interaction Study
Tensor-Accelerated Fourth-Order Epistasis Detection On Gpus
Unlocking Personalized Healthcare On Modern Cpus/gpus: Three-Way Gene Interaction Study
Tensor-Accelerated Fourth-Order Epistasis Detection On Gpus
Multiobjective Evolutionary Computation For High-Order Genetic Interactions
Tensor-Accelerated Fourth-Order Epistasis Detection On Gpus
Multiobjective Evolutionary Computation For High-Order Genetic Interactions
Retargeting Tensor Accelerators For Epistasis Detection
Multiobjective Evolutionary Computation For High-Order Genetic Interactions
Retargeting Tensor Accelerators For Epistasis Detection
Fourth-Order Exhaustive Epistasis Detection For The Xpu Era
Retargeting Tensor Accelerators For Epistasis Detection
Fourth-Order Exhaustive Epistasis Detection For The Xpu Era
Hedacc: Fpga-Based Accelerator For High-Order Epistasis Detection
Fourth-Order Exhaustive Epistasis Detection For The Xpu Era
Hedacc: Fpga-Based Accelerator For High-Order Epistasis Detection
Gpu Acceleration Of Fitch’s Parsimony On Protein Data: From Kepler To Turing
Hedacc: Fpga-Based Accelerator For High-Order Epistasis Detection
Gpu Acceleration Of Fitch’s Parsimony On Protein Data: From Kepler To Turing
Exploring The Binary Precision Capabilities Of Tensor Cores For Epistasis Detection
Gpu Acceleration Of Fitch’s Parsimony On Protein Data: From Kepler To Turing
Exploring The Binary Precision Capabilities Of Tensor Cores For Epistasis Detection
Accelerating 3-Way Epistasis Detection With Cpu+gpu Processing
Exploring The Binary Precision Capabilities Of Tensor Cores For Epistasis Detection
Accelerating 3-Way Epistasis Detection With Cpu+gpu Processing
Heterogeneous Cpu+igpu Processing For Efficient Epistasis Detection
Accelerating 3-Way Epistasis Detection With Cpu+gpu Processing
Heterogeneous Cpu+igpu Processing For Efficient Epistasis Detection
A Multi-Objective Optimization Procedure For Solving The High-Order Epistasis Detection Problem
Heterogeneous Cpu+igpu Processing For Efficient Epistasis Detection
A Multi-Objective Optimization Procedure For Solving The High-Order Epistasis Detection Problem
Parallel Evolutionary Computation For Multiobjective Gene Interaction Analysis
A Multi-Objective Optimization Procedure For Solving The High-Order Epistasis Detection Problem
Parallel Evolutionary Computation For Multiobjective Gene Interaction Analysis
Phylogenetic Reconstructions Using An Indicator-Based Bat Algorithm For Multicore Processors
Parallel Evolutionary Computation For Multiobjective Gene Interaction Analysis
Phylogenetic Reconstructions Using An Indicator-Based Bat Algorithm For Multicore Processors
Analysis Of Moea/d Approaches For Inferring Ancestral Relationships
Phylogenetic Reconstructions Using An Indicator-Based Bat Algorithm For Multicore Processors
Analysis Of Moea/d Approaches For Inferring Ancestral Relationships
Comparative Analysis Of Intra-Algorithm Parallel Multiobjective Evolutionary Algorithms: Taxonomy Implications On Bioinformatics Scenarios
Analysis Of Moea/d Approaches For Inferring Ancestral Relationships
Comparative Analysis Of Intra-Algorithm Parallel Multiobjective Evolutionary Algorithms: Taxonomy Implications On Bioinformatics Scenarios
Multi-Objective Memetic Meta-Heuristic Algorithm For Encoding The Same Protein With Multiple Genes
Comparative Analysis Of Intra-Algorithm Parallel Multiobjective Evolutionary Algorithms: Taxonomy Implications On Bioinformatics Scenarios
Multi-Objective Memetic Meta-Heuristic Algorithm For Encoding The Same Protein With Multiple Genes
Multi-Objective Protein Encoding: Redefinition Of The Problem, New Problem-Aware Operators, And Approach Based On Variable Neighborhood Search
Multi-Objective Memetic Meta-Heuristic Algorithm For Encoding The Same Protein With Multiple Genes
Multi-Objective Protein Encoding: Redefinition Of The Problem, New Problem-Aware Operators, And Approach Based On Variable Neighborhood Search
Parallel Computing In Bioinformatics: A View From High-Performance, Heterogeneous, And Cloud Computing
Multi-Objective Protein Encoding: Redefinition Of The Problem, New Problem-Aware Operators, And Approach Based On Variable Neighborhood Search
Parallel Computing In Bioinformatics: A View From High-Performance, Heterogeneous, And Cloud Computing
A Multiobjective Adaptive Approach For The Inference Of Evolutionary Relationships In Protein-Based Scenarios
Parallel Computing In Bioinformatics: A View From High-Performance, Heterogeneous, And Cloud Computing
A Multiobjective Adaptive Approach For The Inference Of Evolutionary Relationships In Protein-Based Scenarios
Comparative Assessment Of Gpgpu Technologies To Accelerate Objective Functions: A Case Study On Parsimony
A Multiobjective Adaptive Approach For The Inference Of Evolutionary Relationships In Protein-Based Scenarios
Comparative Assessment Of Gpgpu Technologies To Accelerate Objective Functions: A Case Study On Parsimony
Taxonomía De Algoritmos Evolutivos Multiobjetivo Paralelos: Una Visión Intra-Algorítmica
Comparative Assessment Of Gpgpu Technologies To Accelerate Objective Functions: A Case Study On Parsimony
Taxonomía De Algoritmos Evolutivos Multiobjetivo Paralelos: Una Visión Intra-Algorítmica
Análisis Comparativo De Tecnologías Gpgpu Para Acelerar Funciones Objetivo: Parsimonia Como Caso De Estudio
Taxonomía De Algoritmos Evolutivos Multiobjetivo Paralelos: Una Visión Intra-Algorítmica
Análisis Comparativo De Tecnologías Gpgpu Para Acelerar Funciones Objetivo: Parsimonia Como Caso De Estudio
Analysis Of Moea/d Approaches For Inferring Ancestral Relationships
Análisis Comparativo De Tecnologías Gpgpu Para Acelerar Funciones Objetivo: Parsimonia Como Caso De Estudio
Analysis Of Moea/d Approaches For Inferring Ancestral Relationships
Multi-Objective Artificial Bee Colony For Designing Multiple Genes Encoding The Same Protein
Analysis Of Moea/d Approaches For Inferring Ancestral Relationships
Multi-Objective Artificial Bee Colony For Designing Multiple Genes Encoding The Same Protein
Proceedings Of The 6th International Workshop On Parallelism In Bioinformatics - Pbio 2018
Multi-Objective Artificial Bee Colony For Designing Multiple Genes Encoding The Same Protein
Proceedings Of The 6th International Workshop On Parallelism In Bioinformatics - Pbio 2018
Preface
Proceedings Of The 6th International Workshop On Parallelism In Bioinformatics - Pbio 2018
Preface
Análisis De Diseños Paralelos Multiobjetivo Y Políticas De Planificación En Biología Evolutiva
Preface
Análisis De Diseños Paralelos Multiobjetivo Y Políticas De Planificación En Biología Evolutiva
Multiobjective Frog-Leaping Optimization For The Study Of Ancestral Relationships In Protein Data
Análisis De Diseños Paralelos Multiobjetivo Y Políticas De Planificación En Biología Evolutiva
Multiobjective Frog-Leaping Optimization For The Study Of Ancestral Relationships In Protein Data
Analysis Of Scheduling Policies In Metaheuristics For Evolutionary Biology
Multiobjective Frog-Leaping Optimization For The Study Of Ancestral Relationships In Protein Data
Analysis Of Scheduling Policies In Metaheuristics For Evolutionary Biology
Parallel Multi-Objective Optimization For High-Order Epistasis Detection
Analysis Of Scheduling Policies In Metaheuristics For Evolutionary Biology
Parallel Multi-Objective Optimization For High-Order Epistasis Detection
Using Mixed Mode Programming To Parallelize An Indicator-Based Evolutionary Algorithm For Inferring Multiobjective Phylogenetic Histories
Parallel Multi-Objective Optimization For High-Order Epistasis Detection
Using Mixed Mode Programming To Parallelize An Indicator-Based Evolutionary Algorithm For Inferring Multiobjective Phylogenetic Histories
Parallelism-Based Approaches In Computational Biology: A View From Diverse Case Studies
Using Mixed Mode Programming To Parallelize An Indicator-Based Evolutionary Algorithm For Inferring Multiobjective Phylogenetic Histories
Parallelism-Based Approaches In Computational Biology: A View From Diverse Case Studies
Asynchronous Non-Generational Model To Parallelize Metaheuristics: A Bioinformatics Case Study
Parallelism-Based Approaches In Computational Biology: A View From Diverse Case Studies
Asynchronous Non-Generational Model To Parallelize Metaheuristics: A Bioinformatics Case Study
Accelerating The Phylogenetic Parsimony Function On Heterogeneous Systems
Asynchronous Non-Generational Model To Parallelize Metaheuristics: A Bioinformatics Case Study
Accelerating The Phylogenetic Parsimony Function On Heterogeneous Systems
Improving Multiobjective Phylogenetic Searches By Using A Parallel Ε-Dominance Based Adaptation Of The Firefly Algorithm
Accelerating The Phylogenetic Parsimony Function On Heterogeneous Systems
Improving Multiobjective Phylogenetic Searches By Using A Parallel Ε-Dominance Based Adaptation Of The Firefly Algorithm
Algorithms For Computational Biology
Improving Multiobjective Phylogenetic Searches By Using A Parallel Ε-Dominance Based Adaptation Of The Firefly Algorithm
Algorithms For Computational Biology
Preface
Algorithms For Computational Biology
Preface
Performance Evaluation Of Dominance-Based And Indicator-Based Multi Objective Approaches For Phylogenetic Inference
Preface
Performance Evaluation Of Dominance-Based And Indicator-Based Multi Objective Approaches For Phylogenetic Inference
Message From The Pbio 2015 Workshop Chairs
Performance Evaluation Of Dominance-Based And Indicator-Based Multi Objective Approaches For Phylogenetic Inference
Message From The Pbio 2015 Workshop Chairs
Parallelism-Based Technologies In Bioinformatics And Biomedicine: A View From Diverse Perspectives
Message From The Pbio 2015 Workshop Chairs
Parallelism-Based Technologies In Bioinformatics And Biomedicine: A View From Diverse Perspectives
On The Design Of Shared Memory Approaches To Parallelize A Multiobjective Bee-Inspired Proposal For Phylogenetic Reconstruction
Parallelism-Based Technologies In Bioinformatics And Biomedicine: A View From Diverse Perspectives
On The Design Of Shared Memory Approaches To Parallelize A Multiobjective Bee-Inspired Proposal For Phylogenetic Reconstruction
Parallel Multiobjective Metaheuristicsfor Inferring Phylogenies On Multicore Clusters
On The Design Of Shared Memory Approaches To Parallelize A Multiobjective Bee-Inspired Proposal For Phylogenetic Reconstruction
Parallel Multiobjective Metaheuristicsfor Inferring Phylogenies On Multicore Clusters
A Hybrid Approach To Parallelize A Fast Non-Dominated Sorting Genetic Algorithm For Phylogenetic Inference
Parallel Multiobjective Metaheuristicsfor Inferring Phylogenies On Multicore Clusters
A Hybrid Approach To Parallelize A Fast Non-Dominated Sorting Genetic Algorithm For Phylogenetic Inference
Applying Openmp-Based Parallel Implementations Of Nsga-Ii And Spea2 To Study Phylogenetic Relationships
A Hybrid Approach To Parallelize A Fast Non-Dominated Sorting Genetic Algorithm For Phylogenetic Inference
Applying Openmp-Based Parallel Implementations Of Nsga-Ii And Spea2 To Study Phylogenetic Relationships
Performance Analysis Of Multiobjective Artificial Bee Colony Implementations For Phylogenetic Reconstruction
Applying Openmp-Based Parallel Implementations Of Nsga-Ii And Spea2 To Study Phylogenetic Relationships
Performance Analysis Of Multiobjective Artificial Bee Colony Implementations For Phylogenetic Reconstruction
Inferring Multiobjective Phylogenetic Hypotheses By Using A Parallel Indicator-Based Evolutionary Algorithm
Performance Analysis Of Multiobjective Artificial Bee Colony Implementations For Phylogenetic Reconstruction
Inferring Multiobjective Phylogenetic Hypotheses By Using A Parallel Indicator-Based Evolutionary Algorithm
Paralelizando Una Aproximación Multiobjetivo Y Bioinspirada Para Filogenética Usando Esquemas Híbridos Mpi/openmp
Inferring Multiobjective Phylogenetic Hypotheses By Using A Parallel Indicator-Based Evolutionary Algorithm
Paralelizando Una Aproximación Multiobjetivo Y Bioinspirada Para Filogenética Usando Esquemas Híbridos Mpi/openmp
Parallelizing A Multiobjective Swarm Intelligence Approach To Phylogenetics Using Hybrid Mpi/openmp Schemes
Paralelizando Una Aproximación Multiobjetivo Y Bioinspirada Para Filogenética Usando Esquemas Híbridos Mpi/openmp
Parallelizing A Multiobjective Swarm Intelligence Approach To Phylogenetics Using Hybrid Mpi/openmp Schemes
Applying A Multiobjective Metaheuristic Inspired By Honey Bees To Phylogenetic Inference
Parallelizing A Multiobjective Swarm Intelligence Approach To Phylogenetics Using Hybrid Mpi/openmp Schemes
Applying A Multiobjective Metaheuristic Inspired By Honey Bees To Phylogenetic Inference
A Comparative Study On Distance Methods Applied To A Multiobjective Firefly Algorithm For Phylogenetic Inference
Applying A Multiobjective Metaheuristic Inspired By Honey Bees To Phylogenetic Inference
A Comparative Study On Distance Methods Applied To A Multiobjective Firefly Algorithm For Phylogenetic Inference
A Multiobjective Proposal Based On The Firefly Algorithm For Inferring Phylogenies
A Comparative Study On Distance Methods Applied To A Multiobjective Firefly Algorithm For Phylogenetic Inference
A Multiobjective Proposal Based On The Firefly Algorithm For Inferring Phylogenies
A Parallel Multiobjective Algorithm Inspired By Fireflies For Inferring Evolutionary Trees On Multicore Machines
A Multiobjective Proposal Based On The Firefly Algorithm For Inferring Phylogenies
A Parallel Multiobjective Algorithm Inspired By Fireflies For Inferring Evolutionary Trees On Multicore Machines
Comparing Different Operators And Models To Improve A Multiobjective Artificial Bee Colony Algorithm For Inferring Phylogenies
A Parallel Multiobjective Algorithm Inspired By Fireflies For Inferring Evolutionary Trees On Multicore Machines
Comparing Different Operators And Models To Improve A Multiobjective Artificial Bee Colony Algorithm For Inferring Phylogenies
Evaluating The Performance Of A Parallel Multiobjective Artificial Bee Colony Algorithm For Inferring Phylogenies On Multicore Architectures
Comparing Different Operators And Models To Improve A Multiobjective Artificial Bee Colony Algorithm For Inferring Phylogenies
Evaluating The Performance Of A Parallel Multiobjective Artificial Bee Colony Algorithm For Inferring Phylogenies On Multicore Architectures
Inferring Phylogenetic Trees Using A Multiobjective Artificial Bee Colony Algorithm
Evaluating The Performance Of A Parallel Multiobjective Artificial Bee Colony Algorithm For Inferring Phylogenies On Multicore Architectures
Inferring Phylogenetic Trees Using A Multiobjective Artificial Bee Colony Algorithm
Multi-Objective Swarm-Intelligence Algorithm For Document Clustering
WEB ACCESIBLE