Journal articles

  1. 2023, M. Bernaschi, et al. A Multi-GPU Aggregation-Based AMG Preconditioner for Iterative Linear Solvers. IEEE Transactions on Parallel and Distributed Systems, vol. 34, no. 8, August 2023. (doi:10.1109/TPDS.2023.3287238).
  2. 2022, P. D’Ambra, et al. Parallel Sparse Computation Toolkit. Software Impacts, Volume 15, March 2023, 100463. (doi:10.1016/j.simpa.2022.100463 (open access))
  3. 2022, D. Cattaneo, et al. TAFFO: The compiler-based precision tuner. SoftwareX. Volume 20, December 2022, 101238. (doi:10.1016/j.softx.2022.101238 (open access))
  4. 2022, D. Zoni, et al. Cost-effective fixed-point hardware support for RISC-V embedded systems. Journal of Systems Architecture, Volume 126, May 2022, 102476. (doi:10.1016/j.sysarc.2022.102476, open access)
  5. 2022, G. Agosta, et al. Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach. In Microprocessors and Microsystems, 104679. (doi:10.1016/j.micpro.2022.104679, open access)
  6. 2022, R. Ammendola, et al. Progress report on the online processing upgrade at the NA62 experiment. Journal of Instrumentation, Volume 17, April 2022. (doi:10.1088/1748-0221/17/04/C04002, open access)
  7. 2021, M. Cococcioni, et al. A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications. IEEE Transactions on Emerging Topics in Computing, In press. (doi:10.1109/TETC.2021.3120538, open access)

Conference papers

  1. Data Distribution Schemes for Dense Linear Algebra Factorizations on Any Number of Nodes, Olivier Beaumont, Jean-Alexandre Collin, Lionel Eyraud-Dubois, Mathieu Vérité, IEEE International Parallel & Distributed Processing Symposium, In publishing (open access)
  2. 2023, P. D’Ambra, F. Durastante, S. M. Ferdous, M. Halappanavar, S. Filippone, A.Pothen, AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching, Proc. of the 31th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2023. (doi)
  3. 2023, M. Danelutto, et al., FastFlow targeting FPGAs, In Publishing, PDP 2023 – 31st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing. March 1-3, Naples, Italy
  4. 2022, G. Sansone, et al. Experiments on Speeding Up the Recursive Fast Fourier Transform by using AVX-512 SIMD instructions. In Publishing, ApplePies’22 – International Conference on Applications in Electronics Pervading Industry, Environment and Society. (open access)
  5. 2022, M. Cococcioni, et al. Small Reals Representations for Deep Learning at the Edge: A Comparison. Conference on Next Generation Arithmetic CoNGA 2022 pp 117-133. (doi:10.1007/978-3-031-09779-9_8, open access)
  6. 2022, M. Cococcioni, et al. Experimental Results of Vectorized Posit-Based DNNs on a Real ARM SVE High Performance Computing Machine. ApplePies 2021: Applications in Electronics Pervading Industry, Environment and Society pp 61-68. (doi:10.1007/978-3-030-95498-7_9, open access)
  7. 2022, H. Tayeb, et al. MulTreePrio: Scheduling taskbased applications for heterogeneous computing systems. COMPAS 2022 – Conférence francophone
    d’informatique en Parallélisme, Architecture et Système, Jul 2022, Amiens, France. (available online)
  8. 2022, D. Galli, et al. On the Effectiveness of True Random Number Generators Implemented on FPGAs. In Lecture Notes in Computer Science book series (LNCS, volume 13511), Springer. (doi:10.1007/978-3-031-15074-6_20, open access)
  9. 2022, D. Cattaneo, et al. Ahead-Of-Real-Time (ART): A Methodology for Static Reduction of Worst-Case Execution Time. In Third Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2022), Schloss Dagstuhl–Leibniz-Zentrum für Informatik. (doi:10.4230/OASIcs.NG-RES.2022.4 open access)
  10. 2022, W. Fornaciari, et al. The TEXTAROSSA Approach to Thermal Control of Future HPC Systems. In 2022 SAMOS Conference. July 2022. Lecture Notes in Computer Science, vol 13511. Springer, Cham. (doi:10.1007/978-3-031-15074-6_27, open access)
  11. 2022, P. D’Ambra, et al. AMG Preconditioners for Computational and Data Science at Extreme Scale, Calcolo Scientifico e Modelli Matematici, Rome, April 8, 2022 (open access).
  12. 2021, M. Aldinucci, et al. The Italian research on HPC key technologies across EuroHPC. In ACM Computing Frontiers, Virtual Conference, May 2021. (doi:10.1145/3457388.3458508, open access)
  13. 2021, G. Agosta, et al. TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale. In 2021 24th Euromicro Conference on Digital System Design (DSD) (pp. 286-294). IEEE. (doi:10.1109/DSD53832.2021.00051, open access)
  14. 2021, P. D’Ambra, et al. Scalable preconditioners for Computational Science at extreme scale, 13th International Conference on Large-Scale Scientific Computations, Sozopol (BG), June 9, 2021. (open access)


  1. 2022, M. Bernaschi et al. BootCMatchGX: a scalable iterative linear solver for multi-GPU systems. LN HPCKTT General Assembly and 3rd Italian Workshop on HPC, Turin, Italy. September 2022.
  2. 2022, W. Fornaciari. Design of secure power monitors for accelerators, by exploiting ML techniques, in the Euro-HPC TEXTAROSSA project. SCADL WS, Co-located with IPDPS 2022. June 2022.
  3. 2022, G. Zummo. Innovative Two-Phase Cooling Solutions for the Exascale Computing Systems. ISC High Performance 2022. May 2022. Slides
  4. 2022, A. Lonardo. TEXTAROSSA presentation at the annual INFN Workshop on Computing. May 2022
  5. 2022, F. Simula. Distributed and Plastic Spiking Neural Network model of the brain cortex behavior. PSNC textarossa Internal Seminars Series. February 2022.
  6. 2021, P. D’Ambra, et al. Algebraic MultiGrid Preconditioners for Sparse Linear Solvers at Extreme Scales on Hybrid Architectures, EuroCC seminar series, July 2021 – CaSToRC: HPC National Competence Center in Cyprus. (slides)