"object recovery" topics that are not discussed).Here are some garbage collection topics to tell.The "generation" of the objectWhen the CLR is garbage collected, the garbage collector goes back to the managed heap to check if objects can be recycled, which is a very resource-intensive process. To prevent every garbage collection from facilitating all objects on the managed heap, the CLR divides the objects above the managed heap into "generations", f
limits for the system. Under the 32-bit system, the 1.5g~2g;64 is generally limited to memory unrestricted for the operating system. I test under Windows Server 2003 System, 3.5G physical memory, JDK5.0, Max can be set to 1478m.Typical settings:
java -xmx3550m-xms3550m-xmn2g -xss128k - xmx3550m : Sets the maximum available memory for the JVM to 3550M. -xms3550m : Set the JVM to drive memory to 3550m. This value can be set to the same as-xmx to avoid the JVM reallocating memory af
the associated operating system (32-BT or 64-bit) limits ; The available virtual memory limits of the system; the available physical memory limits for the system. Under the 32-bit system, the 1.5g~2g;64 is generally limited to memory unrestricted for the operating system. I test under Windows Server 2003 System, 3.5G physical memory, JDK5.0, Max can be set to 1478m. Typical setup: java-xmx3550m-xms3550m-xmn2g-xss128k-xmx3550m: Sets the JVM's maximum available memory to 3550M. -xms3550m: Set the
Heap Size settings
The maximum heap size in the JVM has three limitations: the data Model (32-BT or 64-bit) of the associated operating system, the system's available virtual memory limits, and the available physical memory limits for the system. Under the 32-bit system, the 1.5g~2g;64 is generally limited to memory unrestricted for the operating system. I test under Windows Server 2003 System, 3.5G physical memory, JDK5.0, Max can be set to 1478m.
Typical settings:
JAVANBSP;
default value -XMS Initial heap size physical memory 1/64 ( default (minheapfreeratio parameter can be adjusted) when the free heap memory is less than 40%, The JVM will increase the heap until the maximum limit of-xmx. -xmx Maximum heap size physical Memory ( default (maxheapfreeratio parameter can be adjusted) when the free heap memory is greater than 70%, the JVM will reduce the heap until the minimum limit of-XMS -xmn Young generation size (1.4or lator) Note: The size here is (ede
Three months ago, we checked Intel's second desktop 6-core processor GulftownCorei7-970, but the testing environment was Windows, today, let's take a look at the performance of the multi-threaded capability put under the Linux system, and compare it with other different models of Intel and AMD. The Corei7-970 is manufactured with 32nm process and LGA1366 encapsulation interface. The original clock speed is 3.20 GHz, and the dynamic acceleration of TurboBoost is up to 3.46 GHz.
Three months ago,
import print_function with open('/proc/cpuinfo') as f: for line in f: # Ignore the blank line separating the information between # details about two processing units if line.strip(): if line.rstrip('n').startswith('model name'): model_name = line.rstrip('n').split(':')[1] print(model_name)
When you run this script, you will see the model of all the processing units on your machine. For example, here is what I see on my computer:
Intel(R) Core(TM)
Recommended GTX 10 series game books:MSI GS73VRReference Price: 12999 RMBRecommended reason: metal body, light and portableThe MSI GS73VR is designed with a screen thickness of only 17.3 inch mm, greatly improving the portability. In terms of appearance, the machine uses a metal shell, and has a metal drawing line and tough muscle lines, fashion without losing domineering.In hardware configuration, GS73VR uses Intel Core i7-6700HQ processor, 16 GB DDR
Https://www.cisco.com/c/en/us/td/docs/switches/datacenter/nexus9000/sw/7-x/security/configuration/guide/b_ Cisco_nexus_9000_series_nx-os_security_configuration_guide_7x/b_cisco_nexus_9000_series_nx-os_security_ Configuration_guide_7x_chapter_01.html
Feature
Description
Changed in Release
Where documented
IP ACLs
Added IPV6 Wildcard mask support for access lists and object groups for Cisco Nexus 9200, 9300-ex, and 9300-fx/fx2/fxp SWI Tches and the Cisc
model of your processing units" "" from __future__ import print_function with open (' /proc/cpuinfo ') as F: For line on F: # Ignore The blank line separating the information between # details Abou T-processing Units if Line.strip (): if Line.rstrip (' n '). StartsWith (' model name '): model_name = Line.rstrip (' n '). Split (': ') [1] print (model_name)
When you run this script, you will see the model of all the processing units of your machine. For example, her
that use the Startwith () string method to display your processor unit.Copy the Code code as follows:
#! /usr/bin/env python
"" Print the model of yourProcessing Units
"""
From __future__ import print_function
With open ('/proc/cpuinfo ') as F:For line in F:# Ignore The blank line separating the information between# Details about processing unitsIf Line.strip ():If Line.rstrip (' \ n '). StartsWith (' model name '):Model_name = Line.rstrip (' \ n '). Split (': ') [1]Print (Model_name)
When yo
/bin/env python "" "Print out The/proc/cpuinfo file" "" From __future__ import Print_functionwith open ('/proc/ Cpuinfo ') as F: For line in F: print (Line.rstrip (' \ n '))
When you use Python 2 or Python 3 to execute this program, you will see all the/proc/cpuinfo content on the screen (in the above program, the Rstrip () method is used to delete the line break at the end of each line)
The following code lists the patterns that use the Startwith () string method to display your processor
] print(model_name)
When you run this program, you should see the pattern name of each of your processor units. For example, this is what I see on my computer.
Intel(R) Core(TM) i7-3520M CPU @ 2.90GHzIntel(R) Core(TM) i7-3520M CPU @ 2.90GHzIntel(R) Core(TM) i7-3520M CPU @ 2.90GHzIntel(R) Core(TM) i7-3520
in the last few days of work. C + + string comparisons. You need to do a huge amount of string equality comparisons in a single run. and the strings are 3-5 byte-length strings, where too much CPU resources are being consumed . How to quickly compare short strings, here is also a method. (Learn the Nginx string comparison)first, the idea of conversion, string comparison in CPU The instructions are byte-wise comparisons, such as "ABC" and the "Abd" whether the two strings do the same comparison.
method to display your computer's processing unit model.
#! /usr/bin/env python "" "
Print the model of your
processing units
" "from
__future__ import Print_ function with
open ('/proc/cpuinfo ') as F: For line in
F:
# Ignore The blank line separating the information Between
# details about two processing units
if Line.strip ():
if Line.rstrip (' n '). StartsWith (' model Name '):
model_name = Line.rstrip (' n '). Split (': ') [1]
print (m
(': ') [1]
print (model_name)
When you run this program, you should see your schema name for each processor unit. For example, this is what I see on my computer.
Intel (R) Core (TM) i7-3520m CPU @ 2.90GHzIntel (R) Core (TM) i7-3520m CPU @ 2.90GHzIntel (R) Core (TM) i7-3520m CPU @ 2.90GHzIntel (R) Core (TM) i7
compression (more compact ).
After compression, the variables and CPU registers that point to the pointers of these objects will now become invalid. The Garbage Collector must re-access all the roots and modify them to point to the new memory location of the object. This causes significant performance loss. This loss is also the main drawback of the hosting heap.
Based on the above features, the garbage collection algorithm caused by garbage collection is also a research topic. Because it would
English Original: Maoni Stephens, compilation: Zhao Yukai (@ Jade Kai Sir)
The CLR garbage collector divides objects by the amount of space they occupy. Large objects and small objects are handled in a very different way. For example, memory defragmentation-the cost of moving large objects in memory is expensive, so let's look at how the garbage collector handles large objects, and how large objects have a potential impact on program performance.
Large object heap and garbage collection
In. Net
completes. -xmn2g : Sets the young generation size to 2G. entire JVM Memory size = younger generation size + older generation size + persistent generation size . The permanent average fixed size is 64m, so increasing the younger generation will reduce the size of older generations. This value has a large impact on system performance, and Sun's official recommendation is 3/8 for the entire heap. -xss128k : Sets the stack size for each thread. After
Heap Size settingsThe maximum heap size in the JVM has three limitations: the data Model (32-BT or 64-bit) of the associated operating system, the system's available virtual memory limits, and the available physical memory limits for the system. Under the 32-bit system, the 1.5g~2g;64 is generally limited to memory unrestricted for the operating system. I test under Windows Server 2003 System, 3.5G physical memory, JDK5.0, Max can be set to 1478m.Typical settings:
Java -xmx3550m-xms3550m
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