| Efficient microscopy image analysis on CPU-GPU systems with cost-aware irregular data partitioning | 0 | 0.34 | 2022 |
| A Fault Tolerant and Deadline Constrained Sequence Alignment Application on Cloud-Based Spot GPU Instances | 0 | 0.34 | 2021 |
| MASA-StarPU: Parallel Sequence Comparison with Multiple Scheduling Policies and Pruning | 0 | 0.34 | 2020 |
| Bitmap filter: Speeding up exact set similarity joins with bitwise operations | 0 | 0.34 | 2020 |
| Introduction to HiCOMB 2019. | 0 | 0.34 | 2019 |
| Sensitivity analysis in digital pathology: Handling large number of parameters with compute expensive workflows. | 0 | 0.34 | 2019 |
| DNA sequences alignment in multi-GPUs: acceleration and energy payoff. | 1 | 0.37 | 2018 |
| Formalization of Block Pruning: Reducing the Number of Cells Computed in Exact Biological Sequence Comparison Algorithms. | 2 | 0.38 | 2018 |
| Cooperative and out-of-core execution of the irregular wavefront propagation pattern on hybrid machines with Intel® Xeon Phi™. | 0 | 0.34 | 2018 |
| CUDA-Sankoff: Using GPU to Accelerate the Pairwise Structural RNA Alignment | 0 | 0.34 | 2017 |
| Dohko: an autonomic system for provision, configuration, and management of inter-cloud environments based on a software product line engineering method. | 0 | 0.34 | 2017 |
| Smith-Waterman Acceleration in Multi-GPUs: A Performance per Watt Analysis. | 1 | 0.36 | 2017 |
| HiCOMB Introduction and Committees | 0 | 0.34 | 2016 |
| Foldalign 2.5: multithreaded implementation for pairwise structural RNA alignment. | 3 | 0.41 | 2016 |
| Power-aware server consolidation for federated clouds. | 5 | 0.41 | 2016 |
| CUDAlign 4.0: Incremental Speculative Traceback for Exact Chromosome-Wide Alignment in GPU Clusters. | 18 | 0.79 | 2016 |
| Autonomic Provisioning, Configuration, and Management of Inter-cloud Environments Based on a Software Product Line Engineering Method | 0 | 0.34 | 2016 |
| Efficient Methods and Parallel Execution for Algorithm Sensitivity Analysis with Parameter Tuning on Microscopy Imaging Datasets. | 0 | 0.34 | 2016 |
| MASA: A Multiplatform Architecture for Sequence Aligners with Block Pruning. | 5 | 0.47 | 2016 |
| Parallel Optimal Pairwise Biological Sequence Comparison: Algorithms, Platforms, and Classification. | 4 | 0.46 | 2016 |
| Automating Resource Selection and Configuration in Inter-clouds through a Software Product Line Method | 11 | 0.48 | 2015 |
| Efficient Irregular Wavefront Propagation Algorithms on Intel(R) Xeon Phi(TM) | 0 | 0.34 | 2015 |
| Parallel A-Star Multiple Sequence Alignment with Locality-Sensitive Hash Functions | 0 | 0.34 | 2015 |
| Parallel Megabase DNA Sequence Comparison with OpenCL. | 0 | 0.34 | 2015 |
| Excalibur: an autonomic cloud architecture for executing parallel applications | 3 | 0.38 | 2014 |
| Querying dynamic communities in online social networks. | 6 | 0.54 | 2014 |
| Querying dynamic communities in online social networks. | 6 | 0.54 | 2014 |
| Querying dynamic communities in online social networks. | 6 | 0.54 | 2014 |
| CUDAlign 3.0: Parallel Biological Sequence Comparison in Large GPU Clusters | 3 | 0.40 | 2014 |
| Fine-grain parallel megabase sequence comparison with multiple heterogeneous GPUs | 5 | 0.44 | 2014 |
| A Framework for Adaptive Fault-Tolerant Execution of Workflows in the Grid: Empirical and Theoretical Analysis | 3 | 0.39 | 2014 |
| An agent-based solution for dynamic multi-node wavefront balancing in biological sequence comparison. | 1 | 0.37 | 2014 |
| Retrieving Smith-Waterman Alignments with Optimizations for Megabase Biological Sequences Using GPU | 30 | 1.23 | 2013 |
| Biological Sequence Comparison on Hybrid Platforms with Dynamic Workload Adjustment | 0 | 0.34 | 2013 |
| Multiple biological sequence alignment in heterogeneous multicore clusters with user-selectable task allocation policies | 2 | 0.39 | 2013 |
| Parallel Smith-Waterman Comparison on Multicore and Manycore Computing Platforms with BSP++. | 8 | 0.60 | 2013 |
| Topic 11: Multicore and Manycore Programming - (Introduction). | 0 | 0.34 | 2013 |
| A Pipeline to Characterize Virulence Factors in Mycobacterium Massiliense Genome | 0 | 0.34 | 2013 |
| MSA-GPU: Exact Multiple Sequence Alignment Using GPU | 4 | 0.46 | 2013 |
| Energy-Aware Multi-Agent Server Consolidation in Federated Clouds. | 1 | 0.35 | 2012 |
| A protein sequence analysis hardware accelerator based on divergences | 2 | 0.39 | 2012 |
| Exact Parallel Alignment Of Megabase Genomic Sequences With Tunable Work Distribution | 2 | 0.37 | 2012 |
| Parallel Simulated Annealing for Fragment Based Sequence Alignment | 0 | 0.34 | 2012 |
| A fragment based alignment in linear space | 0 | 0.34 | 2011 |
| Hybrid MPI/OpenMP Strategy for Biological Multiple Sequence Alignment with DIALIGN-TX in Heterogeneous Multicore Clusters | 3 | 0.40 | 2011 |
| User-Defined Adaptive Fault-Tolerant Execution of Workflows in the Grid | 2 | 0.38 | 2011 |
| Impact Analysis Model For Brasilia Area Control Center Using Multi-Agent System With Reinforcement Learning | 0 | 0.34 | 2010 |
| CUDAlign: using GPU to accelerate the comparison of megabase genomic sequences | 35 | 1.38 | 2010 |
| A HMMER hardware accelerator using divergences | 2 | 0.38 | 2010 |
| Bag-of-Tasks Self-Scheduling over Range-Queriable Search Overlays | 1 | 0.36 | 2009 |
