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Autor Zpráva
 Předmět: MSI Afterburner 4.5.0
PříspěvekZaslal v: út 24. duben 2018, 13:21 
Středně pokročilý
Středně pokročilý
Obrázek uživatele

Založen: 14. březen 2004
Bydliště: Ostrava Poruba
Nahoru
Version 4.5.0

Minimum, average, maximum, 1% low and 0.1% low framerates are now displayed in On-Screen Display
with special text formatting tags introduced by new RivaTuner Statistics Server.
The tags are allowing On-Screen Display clients to display independent benchmark statistics simultaneously for multiple running 3D applications instead of displaying foreground 3D application statistics only

Improved default MSI Cyborg White skin.
Monochrome on / off states of fan speed auto button were hardly identifiable before, they are more contrast now

Added power user oriented restore points system.
Experienced users may use new /backup and /restore command line switches to create multiple named restore points containing full backups of MSI Afterburner’s settings (including hardware profiles and custom hardware monitoring plugin configurations) and restore settings from any previously created restore point if necessary

Improved hardware monitoring module:
Improved built-in performance profiler. Now you may enable “Show profiler panel” option is the context menu of hardware monitoring window to see an additional panel with detailed per-sensor polling statistics in hardware monitoring window status area. Polling statistics visualizes information about the slowest polled sensors with maximum polling time, so power users can easily identify problematic sensors eating most of CPU time on each polling period (e.g. abnormally slow GPU power sensor in some versions of NVIDIA drivers)

Improved correction formulas support.
Now in addition to “x” variable representing current data source the formulas may also use sibling data sources. For example, you may use “x – “RAM Usage”” correction formula for “Pagefile usage” (commit charge) data source to subtract RAM usage from displayed value

Fixed incorrect tracking markers rendering on the graphs dynamically added to hardware monitoring module
Fixed incorrect tracking markers rendering when monitoring ring data buffer is full
Added experimental support for Intel i7 and i9 7XXXX LGA2066 CPUs
Added CPU package power monitoring for Intel CPUs
Minimum sampling interval for CPU usage calculation has been reduced from 1000ms to 100ms
Original RivaTuner’s monitoring history fragment selection and selected fragment processing functionality is back! Now you may hold <Shift> and press left mouse button on initial desired position in hardware monitoring window to begin fragment selection, then drag mouse cursor to desired final position and release left mouse button to select a fragment.

The following functionality is available for selected fragments:
When the fragment is selected, minimum and maximum displayed values are estimated within selected fragment only. This feature can be used if you don’t need the global minimum and maximum values, estimated during whole monitoring session, and wish to see local minimum and maximum values estimated within some shorter period of time (e.g. during benchmark application runtime only).

When the fragment is selected you may use the context menu of any graph to set tracking marker into the local minimum or maximum position within the selection. This feature can be used to automate the process of identifying and visualizing the moments of reaching peak values (e.g. peak GPU temperature) on desired fragments

Improved monitoring plugins architecture:
Added plugin descriptions to plugins selection window
Added new SetupSource API function allowing you to configure the plugins. This function is allowing you to customize the plugins either globally from plugin selection window (e.g. configure whole list of data sources exported by each plugin) or customize desired data source only directly from corresponding graph properties window (e.g. change network download rate units from MB/s to KB/s). SetupSource function usage is demonstrated in SDK in updated AIDA64 and PerfCounter plugins

Added new GetHostAppProperty API function allowing the plugins to retrieve various properties from the host application (i.e. MSI Afterburner), e.g. retrieve GUI color scheme specific to the currently selected skin. GetHostAppProperty guru function usage is demonstrated in SDK in updated AIDA64 and PerfCounter plugins

Improved monitoring plugins:
Now the plugins store user customized and built-in default configurations in separate files, so your custom plugin settings won’t be lost on new version install
Added configuration GUI for AIDA64, HwInfo and PerfCounter plugins. Each plugin’s user interface is allowing you to edit the list of sensors exported by each plugin, export full list of available sensors to a text file, customize each sensor’s properties or reset plugin settings to defaults

Improved PerfCounter plugin:
Added support for performance counters with non-localized names (e.g. “GPU Engine” under Windows Fall Creators Update)

Added support for dynamic data sources. Dynamic data sources are not validated during creation, such sources are allowed to export no data until some condition is met (e.g. “CPU usage” performance counters specific to some target process export data only when the process is running)

Improved SMART plugin:
Added airflow temperature SMART attribute support for Intel/Samsung SSDs.

Added new CPU plugin:
The plugin fully duplicates MSI Afterburner’s built-in CPU temperature monitoring implementation (with the only exception of AMD Ryzen codepath, which cannot be open sourced due to NDA) and shows third party plugin developers how to implement low-level CPU specific sensors in plugins using CPU MSR registers and PCI configuration space access API

Added new GPU plugin:
The plugin shows third party developers how to extend MSI Afterburner’s GPU monitoring functionality and implement own GPU specific sensors in plugins using GPU enumeration and identification API. The plugin is demonstrating implementation of D3DKMT GPU performance counters providing unified vendor agnostic per-engine GPU usage, dedicated and shared memory usage monitoring

Fixed issue in context help system, which could cause the tooltip to flicker when it was displayed below mouse cursor

RivaTuner Statistics Server has been upgraded to v7.1.0

http://www.guru3d.com/files-details/msi ... nload.html

_________________
<-MB-> ASROCK B450M Pro4 | <-CPU-> AMD Ryzen 2600 @ 4.000 Mhz| <-RAM-> 16GB (2x8) DDR4 Kingston HyperX Predator 3200Mhz
<-SSD-> 120GB Kingston HyperX Fury (SYSTEM) + 512GB Adata XPG SX8200 Pro (GAMES) | 23.8" LCD Acer SA240YA
<-GPU-> Gigabyte GeForce® RTX 2060 SUPER AORUS 8G | <-PSU-> be quiet! Pure Power 11 500W | <-CASE-> SilentiumPC Brutus M10


Naposledy upravil spajdr dne út 24. duben 2018, 16:30, celkem upraveno 2x.

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 Předmět: Re: MSI Afterburner 4.5.0
PříspěvekZaslal v: út 24. duben 2018, 16:20 
Moderátor
Moderátor
Obrázek uživatele

Založen: 31. březen 2011
Bydliště: Praha, Prešov
Nahoru
hodne toho

_________________
Intel Core i7-5820K@4,5GHz@watercooled, 32GB DDR4 2,4GHz, GB X99-UD4, Be Quiet Dark Power Pro 11 1kW; NVIDIA GTX 1080 FE watercooled; Fractal Design XL R2; Crucial MX100 256GB;Philips 234E5QHSB/00; OCZ RD400 512GB NVMe ; CFL 8700K ? Alphacool Eisbaer@; NVIDIA GTX 1060 FE; SSD: Samsung EVO 850 256GB; HDD:Seagate 7200.10@250GB + WD@320GB + Seagate 7200.12@1TB; Samsung SyncMaster BX2450L; Windows 10 PRO WMC; Fractal Design R4 Define@SuperFlower 550W Golden King
LUMIA 820,920,830; iPhone 6


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 Předmět: Re: MSI Afterburner 4.5.0
PříspěvekZaslal v: út 24. duben 2018, 16:23 
Čestný člen
Čestný člen

Založen: 22. duben 2005
Bydliště: Brno
Nahoru
Dejte tomu OP trochu formu, kdo se v tom má vyznat :evil:

Asi nejvíc zaujala tahle část
Citace:
  • Added new GPU plugin:

    • The plugin shows third party developers how to extend MSI Afterburner’s GPU monitoring functionality and implement own GPU specific sensors in plugins using GPU enumeration and identification API. The plugin is demonstrating implementation of D3DKMT GPU performance counters providing unified vendor agnostic per-engine GPU usage, dedicated and shared memory usage monitoring


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