A Survey on Exploiting Grids for Ray Tracing. - Biagio Cosenza (Eurographics Italian Chapter Conference, 2008)

On Estimating the Effectiveness of Temporal and Spatial Coherence in Parallel Ray Tracing. - Biagio Cosenza; Gennaro Cordasco; Rosario De Chiara; Ugo Erra; Vittorio Scarano (Eurographics Italian Chapter Conference, 2008)

Load Balancing in Mesh-like Computations using Prediction Binary Trees. - Biagio Cosenza; Gennaro Cordasco; Rosario De Chiara; Ugo Erra; Vittorio Scarano (ISPDC, 2008)

Experiences with Mesh-like computations using Prediction Binary Trees. - Gennaro Cordasco; Biagio Cosenza; Rosario De Chiara; Ugo Erra; Vittorio Scarano (Scalable Comput. Pract. Exp., 2009)

Distributed Load Balancing for Parallel Agent-Based Simulations. - Biagio Cosenza; Gennaro Cordasco; Rosario De Chiara; Vittorio Scarano (PDP, 2011)

GPU Cost Estimation for Load Balancing in Parallel Ray Tracing. - Biagio Cosenza; Carsten Dachsbacher; Ugo Erra (GRAPP/IVAPP, 2013)

LibWater: heterogeneous distributed computing made easy. - Ivan Grasso; Simone Pellegrini; Biagio Cosenza; Thomas Fahringer (ICS, 2013)

An automatic input-sensitive approach for heterogeneous task partitioning. - Klaus Kofler; Ivan Grasso; Biagio Cosenza; Thomas Fahringer (ICS, 2013)

Automatic problem size sensitive task partitioning on heterogeneous parallel systems. - Ivan Grasso; Klaus Kofler; Biagio Cosenza; Thomas Fahringer (PPoPP, 2013)

Random Fields Generation on the GPU with the Spectral Turning Bands Method. - Lars Hunger; Biagio Cosenza; Stefan Kimeswenger; Thomas Fahringer (Euro-Par, 2014)

Kd-Tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU. - Klaus Kofler; Dominik Steinhauser; Biagio Cosenza; Ivan Grasso; Sabine Schindler; Thomas Fahringer (IPDPS Workshops, 2014)

A uniform approach for programming distributed heterogeneous computing systems. - Ivan Grasso; Simone Pellegrini; Biagio Cosenza; Thomas Fahringer (J. Parallel Distributed Comput., 2014)

Behavioral Spherical Harmonics for Long-Range Agents' Interaction. - Biagio Cosenza (Euro-Par Workshops, 2015)

Automatic Data Layout Optimizations for GPUs. - Klaus Kofler; Biagio Cosenza; Thomas Fahringer (Euro-Par, 2015)

Point Distribution Tensor Computation on Heterogeneous Systems. - Ivan Grasso; Marcel Ritter; Biagio Cosenza; Werner Benger; Günter Hofstetter; Thomas Fahringer (ICCS, 2015)

Spectral turning bands for efficient Gaussian random fields generation on GPUs and accelerators. - Lars Hunger; Biagio Cosenza; Stefan Kimeswenger; Thomas Fahringer (Concurr. Comput. Pract. Exp., 2015)

An evaluation of current SIMD programming models for C++. - Angela Pohl; Biagio Cosenza; Mauricio Alvarez-Mesa; Chi Ching Chi; Ben H. H. Juurlink (WPMVP@PPoPP, 2016)

Static optimization in PHP 7. - Nikita Popov; Biagio Cosenza; Ben H. H. Juurlink; Dmitry Stogov (CC, 2017)

Autotuning Stencil Computations with Structural Ordinal Regression Learning. - Biagio Cosenza; Juan José Durillo; Stefano Ermon; Ben H. H. Juurlink (IPDPS, 2017)

Stencil Autotuning with Ordinal Regression: Extended Abstract. - Biagio Cosenza; Juan José Durillo; Stefano Ermon; Ben H. H. Juurlink (SCOPES, 2017)

Local memory-aware kernel perforation. - Daniel Maier 002; Biagio Cosenza; Ben H. H. Juurlink (CGO, 2018)

Cost Modelling for Vectorization on ARM. - Angela Pohl; Biagio Cosenza; Ben H. H. Juurlink (CLUSTER, 2018)

OpenABL: A Domain-Specific Language for Parallel and Distributed Agent-Based Simulations. - Biagio Cosenza; Nikita Popov; Ben H. H. Juurlink; Paul Richmond; Mozhgan Kabiri Chimeh; Carmine Spagnuolo; Gennaro Cordasco; Vittorio Scarano (Euro-Par, 2018)

Accelerating the RICH Particle Detector Algorithm on Intel Xeon Phi. - Christina Quast; Angela Pohl; Biagio Cosenza; Ben H. H. Juurlink; Rainer Schwemmer (PDP, 2018)

Control Flow Vectorization for ARM NEON. - Angela Pohl; Biagio Cosenza; Ben H. H. Juurlink (SCOPES, 2018)

Celerity: High-Level C++ for Accelerator Clusters. - Peter Thoman; Philip Salzmann; Biagio Cosenza; Thomas Fahringer (Euro-Par, 2019)

Predictable GPUs Frequency Scaling for Energy and Performance. - Kaijie Fan; Biagio Cosenza; Ben H. H. Juurlink (ICPP, 2019)

Approximating Memory-bound Applications on Mobile GPUs. - Daniel Maier 002; Nadjib Mammeri; Biagio Cosenza; Ben H. H. Juurlink (HPCS, 2019)

A Performance Analysis of Vector Length Agnostic Code. - Angela Pohl; Mirko Greese; Biagio Cosenza; Ben H. H. Juurlink (HPCS, 2019)

Portable Cost Modeling for Auto-Vectorizers. - Angela Pohl; Biagio Cosenza; Ben H. H. Juurlink (MASCOTS, 2019)

SYCL-Bench: A Versatile Cross-Platform Benchmark Suite for Heterogeneous Computing. - Sohan Lal; Aksel Alpay; Philip Salzmann; Biagio Cosenza; Alexander Hirsch; Nicolai Stawinoga; Peter Thoman; Thomas Fahringer; Vincent Heuveline (Euro-Par, 2020)

SYCL-Bench: A Versatile Single-Source Benchmark Suite for Heterogeneous Computing. - Sohan Lal; Aksel Alpay; Philip Salzmann; Biagio Cosenza; Nicolai Stawinoga; Peter Thoman; Thomas Fahringer; Vincent Heuveline (IWOCL, 2020)

Accurate Energy and Performance Prediction for Frequency-Scaled GPU Kernels. - Kaijie Fan; Biagio Cosenza; Ben H. H. Juurlink (Comput., 2020)

Vectorization cost modeling for NEON, AVX and SVE. - Angela Pohl; Biagio Cosenza; Ben H. H. Juurlink (Perform. Evaluation, 2020)

The Italian research on HPC key technologies across EuroHPC. - Marco Aldinucci; Giovanni Agosta; Antonio Andreini; Claudio Agostino Ardagna; Andrea Bartolini; Alessandro Cilardo; Biagio Cosenza; Marco Danelutto; Roberto Esposito; William Fornaciari; Roberto Giorgi; Davide Lengani; et al. (CF, 2021)

ALONA: Automatic Loop Nest Approximation with Reconstruction and Space Pruning. - Daniel Maier 002; Biagio Cosenza; Ben H. H. Juurlink (Euro-Par, 2021)

Easy and efficient agent-based simulations with the OpenABL language and compiler. - Biagio Cosenza; Nikita Popov; Ben H. H. Juurlink; Paul Richmond; Mozhgan Kabiri Chimeh; Carmine Spagnuolo; Gennaro Cordasco; Vittorio Scarano (Future Gener. Comput. Syst., 2021)

An Analysis of Long-Tailed Network Latency Distribution and Background Traffic on Dragonfly+. - Majid Salimi Beni; Biagio Cosenza (Bench, 2022)

FLEXDP: flexible frequency scaling for energy-delay product optimization of GPU applications. - Kaijie Fan; Biagio Cosenza; Ben H. H. Juurlink (CF, 2022)

An Analysis of Performance Variability on Dragonfly+topology. - Majid Salimi Beni; Biagio Cosenza (CLUSTER, 2022)

Towards a Portable Drug Discovery Pipeline with SYCL 2020. - Luigi Crisci; Majid Salimi Beni; Biagio Cosenza; Nicolò Scipione; Davide Gadioli; Emanuele Vitali; Gianluca Palermo; Andrea Beccari (IWOCL, 2022)

Celerity: How (Well) Does the SYCL API Translate to Distributed Clusters? - Philip Salzmann; Fabian Knorr; Peter Thoman; Biagio Cosenza (IWOCL, 2022)

EMPI: Enhanced Message Passing Interface in Modern C++. - Majid Salimi Beni; Luigi Crisci; Biagio Cosenza (CCGrid, 2023)

An Asynchronous Dataflow-Driven Execution Model For Distributed Accelerator Computing. - Philip Salzmann; Fabian Knorr; Peter Thoman; Philipp Gschwandtner; Biagio Cosenza; Thomas Fahringer (CCGrid, 2023)

Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach. - Gianluca Palermo; Gianmarco Accordi; Davide Gadioli; Emanuele Vitali; Cristina Silvano; Bruno Guindani; Danilo Ardagna; Andrea Rosario Beccari; Domenico Bonanni; Carmine Talarico; Filippo Lunghini; Jan Martinovic; et al. (CF, 2023)

Algorithm Selection of MPI Collectives Considering System Utilization. - Majid Salimi Beni; Sascha Hunold; Biagio Cosenza (Euro-Par Workshops, 2023)

Towards a SYCL API for Approximate Computing. - Lorenzo Carpentieri; Biagio Cosenza (IWOCL, 2023)

Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications. - Lorenzo Carpentieri; Marco D'Antonio; Kaijie Fan; Luigi Crisci; Biagio Cosenza; Federico Ficarelli; Daniele Cesarini; Gianmarco Accordi; Davide Gadioli; Gianluca Palermo; Peter Thoman; Philip Salzmann; et al. (SC Workshops, 2023)

SYnergy: Fine-grained Energy-Efficient Heterogeneous Computing for Scalable Energy Saving. - Kaijie Fan; Marco D'Antonio; Lorenzo Carpentieri; Biagio Cosenza; Federico Ficarelli; Daniele Cesarini (SC, 2023)

Improving computation efficiency using input and architecture features for a virtual screening application. - Gianmarco Accordi; Emanuele Vitali; Davide Gadioli; Luigi Crisci; Biagio Cosenza; Mauro Bisson; Massimiliano Fatica; Andrea Beccari; Gianluca Palermo (CoRR, 2023)

LIGATE - LIgand Generator and portable drug discovery platform AT Exascale. - Gianluca Palermo; Gianmarco Accordi; Davide Gadioli; Yuedong Zhang; Emanuele Vitali; Bruno Guindani; Danilo Ardagna; Cristina Silvano; Andrea Rosario Beccari; Domenico Bonanni; Carmine Talarico; Filippo Lunghini; et al. (CF (Companion), 2024)

MPI Collective Algorithm Selection in the Presence of Process Arrival Patterns. - Majid Salimi Beni; Biagio Cosenza; Sascha Hunold (CLUSTER, 2024)

miniLB: A Performance Portability Study of Lattice-Boltzmann Simulations. - Luigi Crisci; Biagio Cosenza; Giorgio Amati; Matteo Turisini (BigHPC@itaDATA, 2024)

Unlocking performance portability on LUMI-G supercomputer: A virtual screening case study. - Gianmarco Accordi; Davide Gadioli; Gianluca Palermo; Luigi Crisci; Lorenzo Carpentieri; Biagio Cosenza; Andrea Rosario Beccari (IWOCL, 2024)

SYCL-Bench 2020: Benchmarking SYCL 2020 on AMD, Intel, and NVIDIA GPUs. - Luigi Crisci; Lorenzo Carpentieri; Peter Thoman; Aksel Alpay; Vincent Heuveline; Biagio Cosenza (IWOCL, 2024)

Enabling performance portability on the LiGen drug discovery pipeline. - Luigi Crisci; Lorenzo Carpentieri; Biagio Cosenza; Gianmarco Accordi; Davide Gadioli; Emanuele Vitali; Gianluca Palermo; Andrea Rosario Beccari (Future Gener. Comput. Syst., 2024)

Out of kernel tuning and optimizations for portable large-scale docking experiments on GPUs. - Gianmarco Accordi; Davide Gadioli; Emanuele Vitali; Luigi Crisci; Biagio Cosenza; Andrea Beccari; Gianluca Palermo (J. Supercomput., 2024)

Analysis and prediction of performance variability in large-scale computing systems. - Majid Salimi Beni; Sascha Hunold; Biagio Cosenza (J. Supercomput., 2024)

Exploring NCCL Tuning Strategies for Distributed Deep Learning. - Majid Salimi Beni; Ruben Laso; Biagio Cosenza; Siegfried Benkner; Sascha Hunold (IPDPS (Workshops), 2025)

Phase-Based Frequency Scaling for Energy-Efficient Heterogeneous Computing. - Lorenzo Carpentieri; Antonio De Caro; Majid Salimi Beni; Kaijie Fan; Biagio Cosenza (IPDPS, 2025)

A Performance Analysis of Autovectorization on RVV RISC-V Boards. - Lorenzo Carpentieri; Mohammad VazirPanah; Biagio Cosenza (PDP, 2025)

Toward Heterogeneous, Distributed, and Energy-Efficient Computing with SYCL. - Biagio Cosenza; Lorenzo Carpentieri; Kaijie Fan; Marco D'Antonio; Peter Thoman; Philip Salzmann (CoRR, 2025)

miniLB: Benchmarking Lattice Boltzmann simulations on AMD, Intel, and NVIDIA GPUs. - Biagio Cosenza; Luigi Crisci; Giorgio Amati; Matteo Turisini (Future Gener. Comput. Syst., 2026)