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HDD—Hard Disk Drive; HCL—Hardware Compatibility List; HD DVD—High Definition DVD; HDL—Hardware Description Language; HDMI—High-Definition Multimedia Interface; HECI—Host Embedded Controller Interface; HF—High Frequency; HFS—Hierarchical File System; HHD—Hybrid Hard Drive; HID—Human Interface Device; HIG—Human Interface ...
Software reports hard disk drive or memory capacity in different forms using either decimal or binary prefixes. The Microsoft Windows family of operating systems uses the binary convention when reporting storage capacity, so an HDD offered by its manufacturer as a 1 TB drive is reported by these operating systems as a 931 GB HDD.
Any data storage device that uses integrated circuit assemblies as memory to store data persistently. Though they are sometimes referred to as solid-state disks, these devices contain neither an actual disk nor a drive motor to spin a disk. On average, solid-state drives cost about four times as much as conventional hard drives of the same ...
In software engineering, in-memory processing is a software architecture where a database is kept entirely in random-access memory (RAM) or flash memory so that usual accesses, in particular read or query operations, do not require access to disk storage. [2]
Merriam-Webster is defines an initialism as “an abbreviation formed from initial letters,” but acknowledges that “acronym is commonly used to refer to both types of abbreviations.” However ...
The Personal Computer Memory Card International Association is an international standards body that defines and promotes standards for expansion devices such as modems and external hard disk drives to be connected to notebook computers. Over time, the acronym PCMCIA has been used to refer to the PC card form factor used on notebook computers.
In honor of Black Twitter's contribution, Stacker compiled a list of 20 slang words it brought to popularity, using the AAVE Glossary, Urban Dictionary, Know Your Meme, and other internet ...
In-memory databases are faster than disk-optimized databases because disk access is slower than memory access and the internal optimization algorithms are simpler and execute fewer CPU instructions. Accessing data in memory eliminates seek time when querying the data, which provides faster and more predictable performance than disk. [1] [2]