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22.01.2020
-performance computing.” Candidates are invited to submit a 4-page extended abstract in PDF format through the EasyChair submission system. See the conference website for more information.
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21.01.2020
and parity layout of a typical RAID 5 volume.
If you were to do the math, you have four 7TB drives with one drive’s worth of capacity hosting the parity, so the RAID array will produce (7 × 4) - 7 = 21TB
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09.12.2019
| 0| 0| 0| 0.00%|# md test code
2| 0| 0| 0| 0.00%|
3| 2| 3.50475e-05| 1.75238e-05| 0.00%|import platform
4| 1| 2.19345e-05| 2.19345e-05| 0.00%|from
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19.11.2019
that is the issue. The purpose of a cache is to alleviate a lot of the burden for the drive to seek new sector locations for 4K, 8K, or other small I/O requests. Some of the more common caching methods or modes are
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18.11.2019
.6 petaflops on the High Performance Linpack (HPL) benchmark. China took spots 3 and 4 with the Sunway TaihuLight system at 93 petaflops and the former champion Tianhe-2A at 61.4 petaflops.
Overall
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15.11.2019
using hipcc.
4. Correct any compiler errors or warnings and compile again.
After a few build cycles, the ROCm executable will be ready to run.
Hipify-clang
Hipify-clang is a preprocessor that uses
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14.10.2019
of classic HPC tools, such as MPI for Python (mpi4py
), a Python binding to the Message Passing Interface (MPI). Tools such as Dask focus on keeping code Pythonic, and other tools support the best performance ... High-Performance Python 4
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19.09.2019
add_ufunc(x, y):
return x + y
The decorator line defines the data types (i.e., int64
here) and the target for the decorator cuda
. A simple test for the add_ufunc
Numba function is:
a = np.array([1, 2, 3, 4])
b
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, which passes by value.
Listing 1: Using ctypes
from ctypes import byref, cdll, c_int
mult = cdll.LoadLibrary('./mult.so')
add = cdll.LoadLibrary('./add.so')
a = c_int(2)
b = c_int(4)
print
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16.07.2019
+=x[i]
return total
x = numpy.arange(10_000_000);
%time sum(x)
CPU times: user 145 ms, sys: 4.02 ms, total: 149 ms
Wall time: 149 ms
A speedup is nice to see, but believe it or not, quite a bit of the time