List of Open Source Software which can be built on Fugaku

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Spack will be used to manage open source software packages on Fugaku. Fugaku users can easily use pre-installed packages and built packages based on Spack recipes. The following list shows the results of building/compiling packages for aarch64 according to the Spack recipes. Note that the results in this list do not guarantee that each package will work properly. On the other hand, Fujitsu will provide the following packages compiled with Fujitsu compiler on Fugaku as "external" packages, of which Spack can be aware.
  • OpenJDK 11
  • Ruby 2.6.5 or later
  • Python2 2.7.15
  • Python3 3.6.8
  • Numpy 1.14.3
  • SciPy 1.0.0
  • Eclipse IDE 2019-09 R Packages
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intel-gtpin

Package

intel-gtpin

Description

Intel(R) GtPin is a dynamic binary instrumentation framework for GEN
(Intel(R) graphics) Architecture. It is a unique SW platform for
profiling a code running on GEN Execution Units (EUs). GTPin includes a
binary instrumentation engine for Intel(R) GPUs EUs, along with an API
for developing analysis tools, and many sample tools. GTPin allows you
to capture a range of dynamic profiling data at the finest granularity
of the specific GPU EU instruction. GTPin supports both compute and
graphics workloads. It operates on regular, real-world GPU applications,
as well as on pre-captured API streams. The technology enables fast and
accurate dynamic analysis of the code that is executing on the GPU EUs.
GTPin opens up new opportunities to perform dynamic, low level workload
and HW analysis on an Intel(R) GPU, with greater efficiency than other
current solutions. Some of the GTPin capabilities are integrated into
Intel(R) VTune(TM) Profiler, Intel(R) Advisor, and the Intel(R) Graphics
Performance Analyzers (Intel(R) GPA). GTPin is available, along with a
set of analysis tools based on the GTPin framework. It also enables more
advanced users to develop their own analysis tools. GTPin can analyze
any GPU application. It also collects dynamic profiling data which the
application executes on the GPU.

Note


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