This special session aims to bring together researchers and practitioners from the fields of bioinformatics, high-performance computing, and data-intensive systems to exchange innovative ideas, challenges, and results related to computational efficiency in biological data analysis.

We invite the submission of original research papers addressing theoretical advances, algorithmic innovations, software tools, or practical applications that contribute to the efficient and scalable processing of biological data.

Topics of Interest include, but are not limited to:

• - Design and implementation of scalable bioinformatics algorithms on multicore, cluster, and cloud infrastructures.
• - Hybrid parallelism and workload optimization for large-scale biological computations.
• - Green and sustainable computing practices in bioinformatics and computational biology.
• - Memory- and energy-efficient methods for genome, transcriptome, and proteome analysis.
• - Multithreaded computing strategies for shared-memory systems.
• - Performance modeling, tuning, and prediction for bioinformatics applications in heterogeneous systems.
• - Integration of Big Data technologies and AI for accelerating biological data processing.
• - High-throughput and distributed pipelines for omics data analysis.
• - Exploitation of GPUs, FPGAs, and emerging accelerators (TPUs, NPUs, etc.) in computational biology.
• - Cloud, edge, and grid computing paradigms for bioinformatics services.
• - Scalable software architectures and reproducible workflow management in life sciences.
• - Fault tolerance, reliability, and benchmarking of bioinformatics tools under parallel and distributed environments.
• - Advanced visualization, simulation, and modeling techniques supported by parallel computing.

Organizers:
Dr. Juan José Escobar , Department of Software Engineering, University of Granada, Granada, Spain