Joseph Manzano

Pacific Northwest National Laboratory — United States

Computer Science · Physical Sciences

10h-index346citations85works1.32yr avg
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Research Topics

Parallel Computing and Optimization Techniques(52), Embedded Systems Design Techniques(22), Distributed and Parallel Computing Systems(16), Advanced Data Storage Technologies(15), Cloud Computing and Resource Management(14)

Publications85 total

Neuromorphic Architectures for Scientific Computing: a Structural Characterization Case Study
2025
Sensitivity analysis and optimization of centroidal Voronoi tessellations with geometric constraints
Optimization and Engineering·2025
miniGiraffe: A Pangenomic Mapping Proxy App
2025
Scaling Laws for the Workload Throughput of Emerging Heterogeneous Clusters
2025
Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection
arXiv (Cornell University)·2025Open Access
A Performance and Energy Study of GPU-Resident Preconditioners for Conjugate Gradient Solvers: In the Context of Existing and Novel Approaches
2024· 1 cited
Extending High-Level Synthesis with AI/ML Methods
2024· 1 cited
Synchronization for CXL Based Memory
Proceedings of the International Symposium on Memory Systems·2024· 3 cited
HPC Network Simulation Tuning via Automatic Extraction of Hardware Parameters
2024
A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection
arXiv (Cornell University)·2024· 4 citedOpen Access
Cookie-Jar: An Adaptive Re-configurable Framework for Wireless Network Infrastructures
2024
Automatic Extraction of Network Configurations for Realistic Simulation and Validation
2024· 2 cited
Analysis and Benchmarking of feature reduction for classification under computational constraints
Machine Learning Science and Technology·2024· 4 citedOpen Access
Towards Automated Generation of Chiplet-Based Systems Invited Paper
2024· 3 cited
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning
arXiv (Cornell University)·2023· 2 citedOpen Access
Finding Your Niche: An Evolutionary Approach to HPC Topologies
2023
Denial of Service Attack Detection via Differential Analysis of Generalized Entropy Progressions
2023· 2 citedOpen Access
Evaluating Energy Efficiency of GPUs using Machine Learning Benchmarks
2023· 8 cited
Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis
Proceedings of the 28th Asia and South Pacific Design Automation Conference·2023· 2 citedOpen Access
Assessing Risk in High Performance Computing Attacks
2023Open Access
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Frequent Co-authors

Antonino Tumeo(16), Guang R. Gao(13), Marco Minutoli(12), Vito Giovanni Castellana(12), Andrés Márquez(11), Joshua Suetterlein(10), Nícolas Bohm Agostini(9), Vinay Amatya(9), Serena Curzel(8), Ankur Limaye(8), Fabrizio Ferrandi(6), Cheng Tan(5), David Brooks(5), Gu-Yeon Wei(5), Ge Gan(5), Omer Subasi(5), Kevin Barker(5), Joshua Landwehr(4), Jeff Zhang(3), Sriram Krishnamoorthy(3)