Silicon, software and power management tools, integrated in the RISC-V based “Monte Cimone” cluster

  1. /
  2. News
  3. /
  4. Silicon, software and power...
project image

E4 announces breakthrough innovative technologies spanning silicon, software and power management tools, integrated in the RISC-V based “Monte Cimone” cluster.



News highlights

  • E4 Computer Engineering, a leading System Integrator and Technology Provider, joins forces with Università di Bologna and CINECA to build the first operational RISC-V based cluster targeted to the codesign of HPC applications on RISC-V architecture
  • Introducing Monte Cimone, a 6-node cluster integrating RISC-V processors, system software, power management tools
  • A set of HPC software tools and representative applications has been ported, tested, and validated. Monte Cimone also supports instrumentation and monitoring plug-ins which enable its integration into existing HCP operations and management cockpits

E4 Computer Engineering builds on 20+ years of developing and integrating innovative technologies and announces Monte Cimone, a cluster aimed at enabling on RISC-V ISA the co-design of high performance scientific and engineering applications and the supporting software stack.

DEI-UNIBO, the Electric, Electronic and Information Engineering “Guglielmo Marconi” department of the Università di Bologna, has contributed to Monte Cimone’s system architecture definition, software stack development and integration within the Examon data-center automation environment.

CINECA, the leading italian supercomputing center, has ported high-performance mathematical libraries (OpenBLAS, FFTW, Netlib-LAPACK, Netlib-scaLAPACK) and scientific applications (HPL, Quantum Espresso, OpenFOAM) against the RISC-V ISA supporting E4 and Università di Bologna in the validation of the components of the cluster in the operational environment.

Once fully validated at DEI-UNIBO and at E4, Monte Cimone will be relocated at CINECA for further testing and for its integration in CINECA’s pre-exascale-class compute environment.

More information is available in the press release.