The Tera Computer Company was a manufacturer of high-performance computing software and hardware, founded in 1987 in Washington, D.C., and moved 1988 to Seattle, Washington, by James Rottsolk and Burton Smith. The company's first supercomputer product, named MTA, featured interleaved multi-threading, i.e. a barrel processor. It also had no data cache, relying instead on switching between threads for latency tolerance, and used a deeply pipelined memory system to handle many simultaneous requests, with address randomization to avoid memory hot spots.
The company was listed on NASDAQ under the ticker symbol "TERA".
In 1997, Tera Computer went to San Jose, California-based Cadence Design Systems Inc to develop microprocessors for their use in CMOS technology. Unisys manufactured Tera's gallium arsenide CPU.
Upon acquiring the Cray Research division of Silicon Graphics in 2000, the company was renamed to Cray Inc.
In 2019, Cray Inc. was acquired by Hewlett Packard Enterprise for $1.3 billion.
See also
References
Cray Inc., History Archived 2014-07-12 at the Wayback Machine http://www.cray.com/About/History.aspx ↩
"Multi-processor Performance on the Tera MTA". 1999. Archived from the original on 2012-02-22. https://web.archive.org/web/20120222015429/http://cseweb.ucsd.edu/~carter/Papers/tera2.html ↩
https://www.sdsc.edu/News%20Items/PR042798.html https://www.sdsc.edu/News%20Items/PR042798.html ↩
https://www.techmonitor.ai/technology/tera_goes_to_cadence_for_help_with_cmos_supercomputer_chip_1/ https://www.techmonitor.ai/technology/tera_goes_to_cadence_for_help_with_cmos_supercomputer_chip_1/ ↩
"Supercomputer maker to buy Cray, change name". cnet news. 2000. http://news.cnet.com/2100-1001-237517.html ↩
https://www.eetimes.com/tera-computer-buys-cray-from-sgi-readies-cmos-processors/ https://www.eetimes.com/tera-computer-buys-cray-from-sgi-readies-cmos-processors/ ↩
Miller, Ron (2019-05-17). "HPE is buying Cray for $1.3 billion". TechCrunch. Retrieved 2025-04-06. https://techcrunch.com/2019/05/17/hpe-is-buying-cray-for-1-3-billion/ ↩