As people started turning to computers for countless computing processes and work applications, many find these computing machines quite slow and unable to respond to all their necessities. Thus, manufacturers began looking into new possibilities. They tried applying orthogonality wherein a new instruction set is added to the CPU. Although some embraced it, it was seen as costly and slowed the performance of numerous machines. And so, manufacturers began brainstorming other ideas. They started experimenting with massively parallel computers that could work on and process huge data sets. One of the first few attempts would be that of ILLIAC IV.
It started when the U.S. Defense Advanced Research Projects Agency tapped the University of Illinois to produce a parallel computer for them. Headed by Daniel Slotnick, they began the design of the machine. Their goal is to enable Illiac IV to work on one billion floating points per second, a feat that no other machine has ever achieved. To do this, they made use of four CPUs, 256 PEs, ECL integrated circuits, B6500 mainframe and a 64-bit word design. New programming languages were also created to adapt to parallel computing namely, Ivtran, Tranquil and Glypnir.
When Illiac IV was almost completed, it was moved to the Ames Research Center at NASA since the university has become hounded with controversies. The public became alarmed and highly suspicious that the university has been working closely with the U.S. Department of Defense and played a part in the nuclear programs. Fearing for their safety, the team moved the machine to NASA where they ran the first simulation test. Since then, Illiac IV has been instrumental in running countless operations over at NASA. It was perfect for processing all the data required for NASA’s computational fluid dynamics.
During its run, Illiac IV became the fastest series of computers run throughout the world. Its design and development inspired other manufacturers to come up with their own parallel computers. It became the groundwork for the creation of vector processors which produced the most successful computers back then.