Hello, i have a question. I am running windows 10 enterprise, 64bit on my thinkpad t480. It has 32GB of ram and 500GB SSD. It is very slow when trying to do tasks and it never uses more than 15% of the memory. Is there a way to use more ram for tasks/programs? Thanks
windows 7 ultimate x86 speed max edition
open run command by pressing windows key+R at the same time then type in msconfig go to boot options from the top tab then look for advanced click on it you will see the number of cores of your processor and amount of ram your computer is using maximize the memory and then restart you will feel the effects you can also check it in my this pc properties
Built on the same technology as Chrome, Microsoft Edge has additional built-in features like Startup boost and Sleeping tabs, which boost your browsing experience with world class performance and speed that are optimized to work best with Windows.
The taskbar has seen the biggest visual changes, where the old Quick Launch toolbar has been replaced with the ability to pin applications to the taskbar. Buttons for pinned applications are integrated with the task buttons. These buttons also enable Jump Lists to allow easy access to common tasks, and files frequently used with specific applications.[66] The revamped taskbar also allows the reordering of taskbar buttons. To the far right of the system clock is a small rectangular button that serves as the Show desktop icon. By default, hovering over this button makes all visible windows transparent for a quick look at the desktop.[67] In touch-enabled displays such as touch screens, tablet PCs, etc., this button is slightly (8 pixels) wider in order to accommodate being pressed by a finger.[68] Clicking this button minimizes all windows, and clicking it a second time restores them.
Window management in Windows 7 has several new features: Aero Snap maximizes a window when it is dragged to the top, left, or right of the screen.[69] Dragging windows to the left or right edges of the screen allows users to snap software windows to either side of the screen, such that the windows take up half the screen. When a user moves windows that were snapped or maximized using Snap, the system restores their previous state. Snap functions can also be triggered with keyboard shortcuts. Aero Shake hides all inactive windows when the active window's title bar is dragged back and forth rapidly.
A 625MHz overclock is nothing to sneeze at, but it certainly does not come nearthose 6GHz7GHz clock speeds we see on a regular basis with the Phenom IIseries. Granted, reaching those high clock speeds requires LN2 cooling but there is another important reason. We have discussed it several times and still do not have an acceptable answer fromAMD about the inability of the Phenom II to clock much past 4GHz with a 64-bitoperating system. Even with LN2 cooling we have not successfully benched past 4.4GHz with a 64-bit OS.
This is different only for some performance-dependent application types, such as mathematical software or video editing programs. Hence, if you have software whose vendor explicitly endorses 64-bit, then you might notice improved speed with Windows 7 x64.
There are hacks out there to use more memory for 32-bit versions of Windows. Even Microsoft supported Windows Server 2003 32-bit versions for 8/16Gb with PAE. -us/library/windows/desktop/aa366796(v=vs.85).aspx
Hi, Iam using Intel Xeon server , speed 2ghz (64 bit), Ram 2gb DDR2.. Ram slot available 4. I need to increase the Ram upto 16gb, wheter it is possible to increase the ram for this server.whether motherboard & processor will support for 16gb ram.
DOSBox emulates the CPU, the sound and graphic cards, and other peripherals of a PC, all at the same time. The speed of an emulated DOS application depends on how many instructions can be emulated, which is adjustable (number of cycles).
You can see how much free time your real CPU's cores have by looking at the Task Manager in Windows 2000/XP/Vista/7 and the System Monitor in Windows 95/98/ME. Once 100% of the power of your computer's real CPU's one core is used, there is no further way to speed up DOSBox (it will actually start to slow down), unless you reduce the load generated by the non-CPU parts of DOSBox. DOSBox can use only one core of your CPU, so If you have for example a CPU with 4 cores, DOSBox will not be able to use the power of three other cores.
VGA emulation is a demanding part of DOSBox in terms of actual CPU usage. Increase the number of frames skipped (in increments of one) by pressing CTRL-F8. Your CPU usage should decrease when using a fixed cycle setting, and you will be able to increase cycles with CTRL-F12. You can repeat this until the game runs fast enough for you. Please note that this is a trade-off: you lose in fluidity of video what you gain in speed.
It's rough speed level of emulated CPU for different host CPUs. For core=dynamic (cycles=max), while core=normal may to be 5 times slower. Different applications, even their parts, may have different this dependency. An application's and the emulator's settings affect too, - for example, sound's settings.
macOS Monterey is engineered to unleash the power of M1 Pro and M1 Max, delivering breakthrough performance, phenomenal pro capabilities, and incredible battery life. By designing Monterey for Apple silicon, the Mac wakes instantly from sleep, and the entire system is fast and incredibly responsive. Developer technologies like Metal let apps take full advantage of the new chips, and optimizations in Core ML utilize the powerful Neural Engine so machine learning models can run even faster. Pro app workload data is used to help optimize how macOS assigns multi-threaded tasks to the CPU cores for maximum performance, and advanced power management features intelligently allocate tasks between the performance and efficiency cores for both incredible speed and battery life.
This guide introduces the Assess, Parallelize, Optimize, Deploy(APOD) design cycle for applications with the goal of helping application developers to rapidly identify the portions of their code that would most readily benefit from GPU acceleration, rapidly realize that benefit, and begin leveraging the resulting speedups in production as early as possible.
APOD is a cyclical process: initial speedups can be achieved, tested, and deployed with only minimal initial investment of time, at which point the cycle can begin again by identifying further optimization opportunities, seeing additional speedups, and then deploying the even faster versions of the application into production.
After each round of application parallelization is complete, the developer can move to optimizing the implementation to improve performance. Since there are many possible optimizations that can be considered, having a good understanding of the needs of the application can help to make the process as smooth as possible. However, as with APOD as a whole, program optimization is an iterative process (identify an opportunity for optimization, apply and test the optimization, verify the speedup achieved, and repeat), meaning that it is not necessary for a programmer to spend large amounts of time memorizing the bulk of all possible optimization strategies prior to seeing good speedups. Instead, strategies can be applied incrementally as they are learned.
Having completed the GPU acceleration of one or more components of the application it is possible to compare the outcome with the original expectation. Recall that the initial assess step allowed the developer to determine an upper bound for the potential speedup attainable by accelerating given hotspots.
Before tackling other hotspots to improve the total speedup, the developer should consider taking the partially parallelized implementation and carry it through to production. This is important for a number of reasons; for example, it allows the user to profit from their investment as early as possible (the speedup may be partial but is still valuable), and it minimizes risk for the developer and the user by providing an evolutionary rather than revolutionary set of changes to the application.
It is worth noting that several of the other functions in the above example also take up a significant portion of the overall running time, such as calcStats() and calcSummaryData(). Parallelizing these functions as well should increase our speedup potential. However, since APOD is a cyclical process, we might opt to parallelize these functions in a subsequent APOD pass, thereby limiting the scope of our work in any given pass to a smaller set of incremental changes.
Strong scaling is a measure of how, for a fixed overall problem size, the time to solution decreases as more processors are added to a system. An application that exhibits linear strong scaling has a speedup equal to the number of processors used.
The larger N is(that is, the greater the number of processors), the smaller the P/N fraction. It can be simpler to view N as a very large number, which essentially transforms the equation into \(S = 1/(1 - P)\). Now, if 3/4 of the running time of a sequential program is parallelized, the maximum speedup over serial code is 1 / (1 - 3/4) = 4.
In reality, most applications do not exhibit perfectly linear strong scaling, even if they do exhibit some degree of strong scaling. For most purposes, the key point is that the larger the parallelizable portion P is, the greater the potential speedup. Conversely, if P is a small number (meaning that the application is not substantially parallelizable), increasing the number of processors N does little to improve performance. Therefore, to get the largest speedup for a fixed problem size, it is worthwhile to spend effort on increasing P, maximizing the amount of code that can be parallelized.
Understanding which type of scaling is most applicable to an application is an important part of estimating speedup. For some applications the problem size will remain constant and hence only strong scaling is applicable. An example would be modeling how two molecules interact with each other, where the molecule sizes are fixed. 2ff7e9595c
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