#Cpu speed accelerator mac upgrade
#Cpu speed accelerator mac software
#Cpu speed accelerator mac series
#Cpu speed accelerator mac windows

Comparatively, GPU adopts energy efficient ALUs and overlong pipelines with very simple control logic and almost omitted cache for high throughput, no branch prediction or data forwarding abilities.

To be specific:įrom the architecture picture, it's clear to see that plenty of space is occupied by cache in CPU and the rest space is filled with powerful ALUs and complicated control logic, which are designed to handle operation latency, branch prediction and data forwarding. In short, CPU performs well in coping with high-demanding tasks while GPU does an excellent job in simple compute-intensive tasks. GPU mainly handles the highly unified type of tasks with massive independent data and uninterrupted status.

Meanwhile, CPU involves in a large number of bifurcation of jumps and interrupt handling when logical judgement is needed, which makes CPU internal structure complicated. CPU vs GPU PerformanceĬPU, with the general-purpose attribute, is capable of carrying out various kinds of instructions and delivers an excellent performance in multitasking. After you understand the basic architectures and features of CPU and GPU, you'll be suddenly enlightened. You have already known what hardware acceleration is, yet you might be still unclear about the reasons why hardware acceleration improves video processing speed via offloading compute-intensive tasks to GPU instead of the general-purpose CPU.

#Cpu speed accelerator mac windows

Hardware acceleration, by contrast, is far less CPU occupied and will dramatically reduce the waiting time for video processing, especially for 4K UHD and compute-intensive HEVC files.Īpplications that support GPU hardware acceleration on the market include: Windows Media Player, VLC Media Player, Handbrake, MacX Video Converter Pro, MediaCoder, PowerDirector, Movavi Video Converter, Wondershare Video Converter Ultimate and Any Video Converter Ultimate. In contrast, hardware acceleration is to make the most use of the dedicated graphics cards or integrated graphics based on Intel QSV, Nvidia or AMD hardware acceleration solutions. Basically, it still utilizes system resources and increases CPU burden.

#Cpu speed accelerator mac software

Software acceleration is used to describe the process of optimizing a program by the means of built-in code optimization, algorithm upgrade, performance improvement, or other techniques to speed up the program for video decoding and encoding. Hardware Acceleration vs Software Acceleration Specifically, in video transcoding, graphically-intensive tasks such as high-definition video processing are offloaded from CPU to specialized GPU/APU, which is more efficient than doing it only on CPU. Strictly speaking, it means using GPU's powerful graphics capability to do the video transcoding. The common ways that are usually used to accelerate the video processing include replacing the hard disk, increasing the memory, and utilizing more CPU cores.

#Cpu speed accelerator mac upgrade

Definitionīroadly speaking, all the speed boosts achieved in video processing via hardware upgrade are referred to as hardware acceleration. It's time to look deeper into the role that hardware acceleration plays in HD video processing. GPU's high video processing performance is further proven by MacX Video Converter Pro's unique 3-Level Hardware Acceleration (HWEnc, HWDec & HW processing), which offers a 5x faster speed up over HWEnc-only tools, let alone other SW-based programs. The HW accelerated speed doesn't end yet.

#Cpu speed accelerator mac series

Particularly, hardware acceleration solutions let 4K ultra HD HEVC H.265, HD H.264 video processing go far beyond the traditional CPU-in efficiency.įor example, if the computer is equipped with Maxwell-based Nvidia graphics card from the GeForce 900 series or later, Nvidia hardware encoder can take care of the 4K HEVC processing and go 2-3x faster than using Handbrake. Hardware acceleration, by exploiting GPU's massive parallel processing power, turns out to be the most efficient solution to cut time and energy consumptions. The switch of modern videos towards higher quality resolutions increases the burden on CPU, which leads to CPU overheating, laptop lagging, high CPU usage, frozen operations and battery suffers.