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34%
Desktop Supercomputers: Past, Present, and Future
17.03.2021
Home »  HPC  »  Articles  » 
, but it only used a maximum of 1,600W. The blades had up to eight DDR3 DIMM slots along with two 2.5-inch SATA hard drives (HDDs) and a single x16 PCIe port. You could have a one-slot blade with four connected
34%
Scalable network infrastructure in Layer 3 with BGP
14.08.2017
Home »  Archive  »  2017  »  Issue 40: Lean...  » 
Lead Image © artqu, 123RF.com
of working around design bugs after the requirements have been specified increases non-linearly as the project moves through design (5x), coding (10x), development testing (20x), acceptance testing (50x ... Large environments such as clouds pose demands on the network, some of which cannot be met with Layer 2 solutions. The Border Gateway Protocol jumps into the breach in Layer 3 and ensures seamlessly ... Scalability in Layer 3 ... Scalable network infrastructure in Layer 3 with BGP
34%
The Staggering Costs of Technical Debt
23.05.2024
Home »  News  » 
 
New research from vFunction details the “staggering impact” of technical debt, reports Sean Michael Kerner. The Microservices, Monoliths, and the Battle Against $1.52 Trillion in Technical Debt
34%
Maintaining Android in the enterprise
21.08.2014
Home »  Archive  »  2014  »  Issue 22: OpenS...  » 
Lead Image © Iaroslav Neliubov, 123RF.com
#1 SMP PREEMPT Wed Sep 4 19:55:23 PDT \ 2013 armv7l GNU/Linux 04 shell@android:/ $ cat /proc/version 05 Linux version 3.1.10-gd08812a (build03@cyanogenmod) (gcc version \ 4.6.x-google 20120106
34%
Big data tools for midcaps and others
20.05.2014
Home »  Archive  »  2014  »  Issue 20: IPv6...  » 
Lead Image © Roman Gorielov, 123RF.com
.2.0 include the introduction of YARN (Yet Another Resource Negotiator) as an optional replacement for MapReduce. MapReduce in Hadoop 1.x (Figure  3) is not optimal for all workloads. It achieves its best ... Hadoop 2.x and its associated tools promise to deliver big data solutions not just to the IT-heavy big players, but to anyone with unstructured data and the need for multidimensional data analysis. ... 20
34%
Sharing Data with SSHFS
23.04.2014
Home »  HPC  »  Articles  » 
as a module): [laytonjb@home4 HPC_028]$ ls -lsa /lib/modules/2.6.32-431.5.1.el6.x86_64/kernel/fs/fuse total 168   4 drwxr-xr-x  2 root root   4096 Mar 20 20:09 ./   4 drwxr-xr-x 30 root root   4096 Mar 20 20
34%
Secure access to Kubernetes
25.03.2020
Home »  Archive  »  2020  »  Issue 56: Secur...  » 
Lead Image © Zachery Blanton, 123RF.com
of OAuth 2.0 [3] that Microsoft and Google offer in their public clouds. The service distributes tokens that prove to be more up to date and which Kubernetes accepts, assuming you have done the prep work
34%
Persistent Memory
14.01.2016
Home »  HPC  »  Articles  » 
3700 IOPS: 15,900 Optane IOPS: 70,300 (4.42x) P3700 latency: 58µ Optane latency: 9µ (6.44x) Test 2 P3700 IOPS: 13,400 Optane IOPS: 95,600 (7.13x) P3700
34%
How persistent memory will change computing
03.12.2015
Home »  Archive  »  2015  »  Issue 30: OpenD...  » 
Lead Image © rangizzz, 123RF.com
Benchmarks Test 1 P3700 IOPS: 15,900 Optane IOPS: 70,300 (4.42x) P3700 latency: 58µ Optane latency: 9µ (6.44x) Test 2 P3700 IOPS: 13,400 Optane IOPS: 95,600
34%
Hadoop for Small-to-Medium-Sized Businesses
06.05.2014
Home »  HPC  »  Articles  » 
Hadoop 2.x and its associated tools promise to deliver big data solutions not just to the IT-heavy big players, but to anyone with unstructured data and the need for multidimensional data analysis. ... Negotiator) as an optional replacement for MapReduce. MapReduce in Hadoop 1.x (Figure 3) is not optimal for all workloads. It achieves its best performance where duties can be clearly distributed ... Hadoop 2.x and its associated tools promise to deliver big data solutions not just to the IT-heavy big players, but to anyone with unstructured data and the need for multidimensional data analysis.

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