- Tera Download Size
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Here is a common question from our customers, “How much does a 1 TB hard drive hold?”
To put it in perspective, we’ve made a poster about 1 TB drives for you.
(Note these are just estimates as data sizes may vary)
The table above is a reference for both external and internal hard drives. Please note that while this a reference chart, it should not be taken as is. This is merely a high level perspective of how much a drive could hold. There are different variants that may increase or decrease the numbers shown. Low/high resolution photos or HD movies/videos may require less or more space. There also may be different mixtures of music, videos, photos and movies on your computer which may increase or decrease the storage space. As music, videos, photos, movies and games come in different sizes/quantities in a user’s hard drive, it would be hard to give a definitive answer (of how much a drive would hold) without proper calculations.
*1 TB (Terabyte) = 1000 GB (Gigabytes), 1 Million MB (Megabytes) or 1000 Million/1 billion KB (Kilobytes)
Measure computer performance in FLOPS
![Download Download](/uploads/1/2/6/4/126482415/647490698.jpg)
The performance capabilities of supercomputers (for example, Indiana University's research computing systems) are expressed using a standard rate for indicating the number of floating-point arithmetic calculations systems can perform on a per-second basis. The rate, floating-point operations per second, is abbreviated as FLOPS.
The 'S' in the acronym 'FLOPS' stands for 'second' and is used in combination with 'P' (for 'per') to indicate a rate, such as 'miles per hour' (MPH) or gigabits per second (Gbps). The per-second rate 'FLOPS' is commonly misinterpreted as the plural form of 'FLOP' (short for 'floating-point operation').
Computer vendors and service providers typically list the theoretical peak performance (Rpeak) capabilities of their systems expressed in FLOPS. A system's Rpeak is calculated by multiplying the number of processors by the clock speed of the processors, and then multiplying that product by the number of floating-point operations the processors can perform in one second on standard benchmark programs, such as the LINPACK DP TPP and HPC Challenge (HPCC) benchmarks, and the SPEC integer and floating-point benchmarks.
Measure storage capacity in bytes
Computer storage and memory capacities are expressed in units called bits and bytes. A bit is the smallest unit of measurement for digital information in computing. A byte is the number of bits a particular computing architecture needs to store a single text character. Consequently, the number of bits in a byte can differ between computing platforms. However, due to the overwhelming popularity of certain major computing platforms, the 8-bit byte has become the international standard, as defined by the International Electrotechnical Commission (IEC).
An uppercase 'B' is used for abbreviating 'byte(s)'; a lowercase 'b' is used for abbreviating 'bit(s)'. This difference can cause confusion. For example, file sizes are commonly represented in bytes, but download speeds for electronic data are commonly represented in bits per second. With a download speed of 10 megabits per second (Mbps), you might mistakenly assume a 100 MB file will download in only 10 seconds. However, 10 Mbps is equivalent to only 1.25 MB per second, meaning a 100 MB file would take at least 80 seconds to download.
Storage vendors and service providers typically list the storage capacities of their systems in terms of 'disk space', even when referring to tape storage systems, such as IU's Scholarly Data Archive (SDA).
Prefixes for representing orders of magnitude
Orders of magnitude (in base 10) are expressed using standard metric prefixes, which are abbreviated to single characters when prepended to other abbreviations, such as FLOPS and B (for byte):
Prefix | Abbreviation | Computer performance | Storage capacity | |
---|---|---|---|---|
giga- | G | 109 | gigaFLOPS (GFLOPS) | gigabyte (GB) |
tera- | T | 1012 | teraFLOPS (TFLOPS) | terabyte (TB) |
peta- | P | 1015 | petaFLOPS (PFLOPS) | petabyte (PB) |
exa- | E | 1018 | exaFLOPS (EFLOPS) | exabyte (EB) |
zetta- | Z | 1021 | zettaFLOPS (ZFLOPS) | zettabyte (ZB) |
yotta- | Y | 1024 | yottaFLOPS (YFLOPS) | yottabyte (YB) |
These prefixes also are used to convey the scale and complexity of the computational and analytical methods employed when working with supercomputers; for example:
- Terascale: Refers to methods and processes for using supercomputers capable of performing at least 1 TFLOPS or storage systems capable of storing at least 1 TB
- Petascale: Refers to methods and processes for using supercomputers capable of performing at least 1 PFLOPS or storage systems capable of storing at least 1 PB
- Exascale: Refers to methods and processes for using supercomputers capable of performing at least 1 EFLOPS or storage systems capable of storing at least 1 EB
Understand orders of magnitude in computer performance
GigaFLOPS
A 1 gigaFLOPS (GFLOPS) computer system is capable of performing one billion (109) floating-point operations per second. To match what a 1 GFLOPS computer system can do in just one second, you'd have to perform one calculation every second for 31.69 years.
TeraFLOPS
A 1 teraFLOPS (TFLOPS) computer system is capable of performing one trillion (1012) floating-point operations per second. The rate 1 TFLOPS is equivalent to 1,000 GFLOPS. To match what a 1 TFLOPS computer system can do in just one second, you'd have to perform one calculation every second for 31,688.77 years.
PetaFLOPS
A 1 petaFLOPS (PFLOPS) computer system is capable of performing one quadrillion (1015) floating-point operations per second. The rate 1 PFLOPS is equivalent to 1,000 TFLOPS. To match what a 1 PFLOPS computer system can do in just one second, you'd have to perform one calculation every second for 31,688,765 years.
ExaFLOPS
Tera Download Size
A 1 exaFLOPS (EFLOPS) computer system is capable of performing one quintillion (1018) floating-point operations per second. The rate 1 EFLOPS is equivalent to 1,000 PFLOPS. To match what a 1 EFLOPS computer system can do in just one second, you'd have to perform one calculation every second for 31,688,765,000 years.
Understand orders of magnitude in storage capacity
Gigabyte
A gigabyte is equal to one billion bytes. You can fit 4.7 GB of data on one single-sided DVD (each DVD is about 1.2 mm, or 0.047 inches, thick).
Terabyte
A terabyte is equal to one trillion (one thousand billion) bytes, or 1,000 GB. To hold 1 TB of data, you would need about 213 single-sided DVDs (a stack that's about 255.6 mm, or 10.06 inches, tall).
Petabyte
How Big Is Tera Download 2017
A petabyte is equal to one quadrillion (one thousand trillion) bytes, or 1,000 TB. To hold 1 PB of data, you would need about 212,766 single-sided DVDs (a stack that's about 255.3 meters, or 837.67 feet, tall).
Exabyte
How Big Is Tera Download
An exabyte is equal to one quintillion (one thousand quadrillion) bytes, or 1,000 PB. To hold 1 EB, you would need about 212,765,958 single-sided DVDs (a stack that's about 255.3 kilometers, or 158.65 miles, tall).
How Big Is The Tera Download
IU examples
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Following are some examples of tera-, peta-, and exascale computing at IU:
- IU's Big Red II system has a theoretical peak performance of 1 PFLOPS. Big Red II was the first petascale system to be owned and operated solely by (and for) a US university.
- The SDA provides 42 PB of long-term storage capacity for research data.
- The Data Capacitor II high-speed, high-throughput file system provides 5.3 PB of temporary storage for applications running on IU supercomputers; the Data Capacitor Wide Area Network 2 (DC-WAN2) provides 873 TB of temporary storage for applications running on remote supercomputers.
- IU's Center for Research in Extreme Scale Technologies (CREST) develops methods, technologies, and training resources to enable exascale data analysis and computation.