Einstein@Home applications

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Alez
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#1 Einstein@Home applications

Post by Alez »

Applications

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Einstein@Home currently has the following applications. When you participate in Einstein@Home, tasks for one or more of these applications will be assigned to your computer. The current version of the application will be downloaded to your computer. This happens automatically; you don't have to do anything.

Continuous Gravitational Wave search Galactic Center Tuning highFreq
PlatformVersion
Linux running on an AMD x86_64 or Intel EM64T CPU1.04 (AVX)
Microsoft Windows running on an AMD x86_64 or Intel EM64T CPU1.02 (AVX)
Mac OS 10.5 or later running on Intel 64 Bit1.02
Mac OS 10.5 or later running on Intel 64 Bit1.03 (AVX107)


Continuous Gravitational Wave search Galactic Center Tuning lowFreq
PlatformVersion
Linux running on an AMD x86_64 or Intel EM64T CPU1.04 (AVX)
Microsoft Windows running on an AMD x86_64 or Intel EM64T CPU1.02 (AVX)
Mac OS 10.5 or later running on Intel 64 Bit1.02
Mac OS 10.5 or later running on Intel 64 Bit1.03 (AVX107)


Gamma-ray pulsar binary search #1 on GPUs
PlatformVersion
Linux running on an AMD x86_64 or Intel EM64T CPU1.17 (FGRPopencl-ati)
Linux running on an AMD x86_64 or Intel EM64T CPU1.17 (FGRPopencl-nvidia)
Linux running on an AMD x86_64 or Intel EM64T CPU1.18 (FGRPopencl1K-ati)
Linux running on an AMD x86_64 or Intel EM64T CPU1.20 (FGRPopencl1K-nvidia)
Microsoft Windows running on an AMD x86_64 or Intel EM64T CPU1.17 (FGRPopencl-ati)
Microsoft Windows running on an AMD x86_64 or Intel EM64T CPU1.17 (FGRPopencl-nvidia)
Microsoft Windows running on an AMD x86_64 or Intel EM64T CPU 1.18 (FGRPopencl1K-ati)
Microsoft Windows running on an AMD x86_64 or Intel EM64T CPU1.20 (FGRPopencl1K-nvidia)
Mac OS 10.5 or later running on Intel 64 Bit 1.17 (FGRPopencl-ati-mav)
Mac OS 10.5 or later running on Intel 64 Bit 1.17 (FGRPopencl-nvidia-mav)


Gamma-ray pulsar binary search #1
PlatformVersion
Linux/x86 1.05 (FGRPSSE)
Windows/x86 1.05 (FGRPSSE)
Mac OS X on Intel 1.05 (FGRPSSE)
Linux running on an AMD x86_64 or Intel EM64T CPU 1.05 (FGRPSSE)
Mac OS 10.5 or later running on Intel 64 Bit 1.05 (FGRPSSE)


Binary Radio Pulsar Search (Arecibo, GPU)
)
PlatformVersion
Linux/x86 1.39 (BRP4G-cuda32-nv270)
Linux/x86 1.39 (BRP4G-opencl-ati)
Windows/x86 1.39 (BRP4G-cuda32)
Windows/x86 1.39 (BRP4G-cuda32-nv301
Windows/x86 1.39 (BRP4G-opencl-ati)
Mac OS X on Intel 1.39 (BRP4G-cuda32-OSX)
Mac OS X on Intel 1.39 (BRP4G-opencl-ati-lion)
Linux running on an AMD x86_64 or Intel EM64T CPU 1.39 (BRP4G-cuda32-nv270)
Linux running on an AMD x86_64 or Intel EM64T CPU 1.39 (BRP4G-opencl-ati)
Microsoft Windows running on an AMD x86_64 or Intel EM64T CPU 1.39 (BRP4G-opencl-ati)
Mac OS 10.5 or later running on Intel 64 Bit 1.56 (BRP4G-Beta-cuda55-Lion) (beta test)


Binary Radio Pulsar Search (Arecibo) (Arecibo, GPU)
PlatformVersion
Windows/x86 1.34 (opencl-intel_gpu)
Mac OS X on PPC 1.58 (ALTIVEC)
Microsoft Windows running on an AMD x86_64 or Intel EM64T CPU 1.34 (opencl-intel_gpu)
Microsoft Windows running on an AMD x86_64 or Intel EM64T CPU 1.34 (opencl-intel_gpu-Beta)
Microsoft Windows running on an AMD x86_64 or Intel EM64T CPU 1.34 (opencl-intel_gpu-new)
Linux running on ARMv6 (hard float), e.g. Raspberry Pi 1.06
Linux running on ARMv6 (hard float), e.g. Raspberry Pi 1.42 (NEON)
Linux running on ARMv6 (hard float), e.g. Raspberry Pi 1.47 (NEON_Beta)
Android running on ARM 1.43 (NEON)
Android running on ARM 1.43 (VFP)
Android running on ARM 1.46 (ASIMDPIE)
Android running on ARM 1.46 (NEONPIE)
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Dirk Broer
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#2 Re: Einstein@Home applications

Post by Dirk Broer »

August 2020 situation:

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#3 Re: Einstein@Home applications -Binary Radio Pulsar Search (Arecibo) (BRP4) now also for Aarch64/Linux

Post by Dirk Broer »

Binary Radio Pulsar Search (Arecibo) (BRP4) now also for Aarch64/Linux:

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#4 Re: Einstein@Home applications

Post by Dirk Broer »

There's even more good news from Einstein@Home for those wo run Aarch64 (ARMv8) boards from nVidia (a.k.a. "The Jetsons": Nano, Xavier NX and AGX Xavier -and their dog, TX2)

A developer named Gaurav Khanna, a gravitational physicist (theory and computational) at the University of Massachusetts, Dartmouth, has succeeded in to making an Einstein@Home GPU app for the nVidia Jetson boards.
It needs CUDA (duh), so other boards with e.g. MALI GPUs can't profit. But it shows that ARM dev kits can be used as such.
Keith Myers of the GPU Users Group team (duh again) is working with it at the moment -as is Gaurav Khanna himself.
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