Advanced Circuits and Architectures Scope
Advances in sequencing technologies have exponentially increased the amount of genomic data, generating new computational challenges. This line of research focuses on the development of high-throughput solutions to accelerate large-scale genomic analysis, improving the efficiency, performance and sustainability of applications used in biomedical research and healthcare.
Ongoing investigations
Accelerating sequence alignment using in-memory processing architectures
Alejandro Alonso Marín
Research Support Investigator
Acceleration of pangenomic workloads in HPC architectures
Albert Jiménez Blanco
Research Support Investigator
Characterization of CPU-GPU workload performance in heterogeneous high-performance computing systems
Ferran Llorà Nieto
Research Support Investigator
Elastic Vector Architecture RISC-V
Vasabhaktula Lokananda Hari Babu
Research Support Investigator
Heterogeneous architectures for accelerating ultra-long sequence alignment
Oscar Lostes Cazorla
Research Support Investigator
Heterogeneous infrastructure with cache coherence for rapid prototyping of hardware accelerators for bioinformatics
Eric Santigosa
Research Support Investigator
High-throughput alignment of biological sequences on GPU
Quim Aguado Puig
Research Support Investigator
Performance evaluation and optimization of heterogeneous accelerators for genomic workloads
Álvaro Lucas Barceló
Research Support Investigator
Sidecar Project
Awakening scientific and technological vocations in schools and institutes
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