SWAC: The Genesis of West Coast Computing
An in-depth exploration of the Standards Western Automatic Computer, a pioneering machine that shaped early digital computation.
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Overview
A Foundational Machine
The Standards Western Automatic Computer, or SWAC, was an early electronic digital computer constructed in 1950 by the U.S. National Bureau of Standards (NBS) in Los Angeles, California. Designed by the esteemed Harry Huskey, SWAC represented a significant milestone in the nascent field of computing, particularly on the West Coast.
Origin and Purpose
SWAC was conceived as an interim solution, designed for rapid construction and deployment. It was intended to provide essential computational capabilities while the NBS awaited the completion of more advanced systems, such as the RAYDAC by Raytheon. Its development underscored the urgent need for computational power in scientific research during the post-war era.
Inaugural Operations
Completed in August 1950, SWAC was immediately recognized for its impressive speed, holding the title of the world's fastest computer until the IAS computer became operational a year later. This early success highlighted the potential of electronic computation for complex problem-solving.
Architecture & Components
Core Specifications
SWAC was built using approximately 2,300 vacuum tubes. Its primary memory system utilized advanced Williams tubes, capable of storing 256 words. Each word comprised 37 bits, providing a substantial capacity for its time.
Operational Capabilities
The computer's instruction set was relatively streamlined, featuring seven fundamental operations: addition, subtraction, fixed-point multiplication, comparison, data extraction, input, and output. Later enhancements included the integration of drum memory, expanding its data handling capabilities.
Memory Technology
The use of Williams tubes for memory was a key technological feature of SWAC. These cathode ray tubes stored data as patterns of charged spots on their screens, which were read by an electron beam. The memory unit, with its 37-bit word length, was central to SWAC's processing power.
Performance Benchmarks
Speed and Efficiency
SWAC demonstrated remarkable performance for its era. It could execute an addition operation and store the result in a mere 64 microseconds. A multiplication operation typically took around 384 microseconds, positioning it as a leading computational engine upon its completion.
Operational Lifespan
Initially operated by the NBS until 1954, SWAC was subsequently transferred to the University of California, Los Angeles (UCLA). It continued to serve the academic and research community there, with modifications, until its decommissioning in 1967. During its tenure at UCLA, it was available for use at a rate of $40 per hour.
Significant Contributions
Discovery of Mersenne Primes
In January 1952, mathematician Raphael M. Robinson utilized SWAC to identify five Mersenne primes. These were the largest prime numbers known at the time, possessing 157, 183, 386, 664, and 687 digits, respectively. This achievement showcased SWAC's capacity for intensive mathematical computation.
Advancing Structural Biology
SWAC played a critical role in the groundbreaking X-ray analysis of the structure of Vitamin B12, conducted by Nobel laureate Dorothy Hodgkin. The extensive calculations performed by SWAC were fundamental to deciphering the complex molecular structure, a feat that contributed significantly to Hodgkin's Nobel Prize in Chemistry in 1964.
Enduring Legacy
Transition and Impact
Following its service at the NBS, SWAC's relocation to UCLA marked a new phase in its operational life. It continued to be a vital resource for research, demonstrating the long-term value of early computing innovations. Its eventual retirement in 1967 concluded a significant chapter in the history of digital computation.
Historical Context
SWAC stands as a testament to the ingenuity and rapid progress in computer science during the mid-20th century. Alongside contemporaries like SEAC, it provided invaluable experience and laid the groundwork for future generations of more powerful and complex computing systems.
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References
References
- Hodgkin, D.C.; Pickworth, J.; Robertson, J.H; Trueblood, K.N.; Prosen, R.J; White, J.G. Nature. 1955. 176. 325.
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