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Developer(s) | Universidad San Jorge ( Zaragoza, Spain) |
---|---|
Initial release | March 20, 2015[1] |
Development status | Active |
Written in | C++ |
Operating system | Windows, Linux, Raspberry Pi, and macOS (Intel and ARM), all 64 bits |
Platform | BOINC |
Available in | English and spanish |
License | Apache 2.0 |
Average performance | 30 TFLOPS [2] |
Active users | 878 [3] |
Total users | 6,955 |
Active hosts | 4,443 (76.05%) |
Total hosts | 5,842 |
Website |
denis |
DENIS@home is a volunteer computing project hosted by Universidad San Jorge ( Zaragoza, Spain) and running on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform.
The primary goal of DENIS@home is to compute large amounts of cardiac electrophysiological simulations, studying the electrical activity of the heart.
DENIS@home was initially released on March 20, 2015. [4] Since then, it has been developed by a team of three people aided by four undergraduate students. All members of the development team are a part of the Computing for Medical and Biological Applications research group. [5]
![]() | |
Developer(s) | Universidad San Jorge ( Zaragoza, Spain) |
---|---|
Initial release | March 20, 2015[1] |
Development status | Active |
Written in | C++ |
Operating system | Windows, Linux, Raspberry Pi, and macOS (Intel and ARM), all 64 bits |
Platform | BOINC |
Available in | English and spanish |
License | Apache 2.0 |
Average performance | 30 TFLOPS [2] |
Active users | 878 [3] |
Total users | 6,955 |
Active hosts | 4,443 (76.05%) |
Total hosts | 5,842 |
Website |
denis |
DENIS@home is a volunteer computing project hosted by Universidad San Jorge ( Zaragoza, Spain) and running on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform.
The primary goal of DENIS@home is to compute large amounts of cardiac electrophysiological simulations, studying the electrical activity of the heart.
DENIS@home was initially released on March 20, 2015. [4] Since then, it has been developed by a team of three people aided by four undergraduate students. All members of the development team are a part of the Computing for Medical and Biological Applications research group. [5]