32%
18.02.2018
with approximately 8,200 cores each, and six newer islands with 14,300 cores each. It achieves a speed of around 6 petaFLOPS (10^15 floating-point operations per second). In total, almost 500TB of main memory
32%
28.11.2023
.get_members():
print (item)
You will also want to protect the get_results() functions with exception handling. The underlying library throws an exception of the type (0, 'Active Directory', 'There is no such object
32%
03.08.2023
At least 90MBps
A1
Application performance class 1
At least 1,500 4K random read, 500 write IOPSAt least 10MBps sustained sequential write
A2
Application performance class
32%
29.10.2013
, but with Apache CloudMonkey 5.0.0, the CLI can actually query the API endpoint of the target cloud and automatically discover the capabilities of that environment.
Apache CloudStack 4.2 and will be out by the time
32%
19.10.2012
consisting of 80 cores with 4GB of RAM per core with basic storage of 500GB. POD pricing is based on cores/hour and would work out to be US$ 6,098.00/month or US$ 0.101/core·hour. A large example of 256 cores
32%
30.01.2013
We talked with Michael Wong, OpenMP CEO, and Matthijs van Waveren, Marketing Coordinator, about the status of the upcoming OpenMP version 4.0 specification and some of its features and enhancements ... from NVidia, or AMD, or DSP, that adds another whopping 2,500GFLOPS that you’re not able to access unless you drop down into some proprietary code. OpenMP 4.0 will let you address the entire machine ...
We talked with Michael Wong, OpenMP CEO, and Matthijs van Waveren, Marketing Coordinator, about the status of the upcoming OpenMP version 4.0 specification and some of its features and enhancements
32%
09.10.2013
, and the Gigabit Ethernet interface onboard promises tantalizing cluster possibilities – the team has already demonstrated a 756-core cluster, powering 42 boards with less than 500 watts. As Adapteva perfects its 64
32%
01.10.2011
that are integer-based, there may be headroom to boost, and workloads like cloud, virtualization, and database will clearly be able to boost. We have two levels of boost, an all-core boost that is 3-500MHz of boost
32%
04.11.2011
, virtualization, and database will clearly be able to boost. We have two levels of boost, an all-core boost that is 3-500MHz of boost across all cores for most workloads, and even higher boost if some of the cores
32%
09.11.2017
means no one is tuning in to optimization, and the results of GPU acceleration can be quite pronounced. Our tests have shown it is not uncommon to see up to a 500x speedup with Python.”
Who’s using HIP ... 0 ... 0
