ITEC is a division of Philips Semiconductor dedicated to designing equipment used in the assembly of discrete semiconductors. They produce over 25 billion products each year.
As software began to play larger and larger role in their designs, the Philips team realized that they needed to move to a more modern and efficient programming environment. After carefully examining all the options, the choice was clear: Ada.
JEOL designs and manufactures highly sophisticated scientific instruments. One of their key products, NMR, is used for analyzing molecular structures.
JEOL’s engineers chose Ada for both the NMR’s workstation software and the embedded system that runs the hardware. They believed that Ada was the best choice for developing robust applications that would respond to the mission critical needs of their customers. They were proven right.
What they didn’t expect was the robust effect Ada would have on their bottom line.
Professor Martin Stift carries out research on the modelling atmospheres of magnetic stars and teaches Astrophysics at Vienna University. His work involves calculations with huge amounts of atomic data and requires massively parallel computing. When he couldnít push his existing programs any further with Fortran he turned to Ada which is perfectly suited for many scientific applications and has been using it ever since.
Not only did Ada help Professor Stift solve his computing challenges, he also found that it proved to be the perfect language for teaching his students good solid programming practices.
New Trade Research designs and develops automated systems for trading on the European stock exchanges. With literally billions of dollars on the line they needed to build reliable real-time systems that simply wouldn’t fail. Looking around for the right language, they realized that their programming challenges were very similar to those posed by large, real-time and safety-critical systems, areas in which Ada excels. When they discovered that Ada has numerous built in features to deal with financial data, the choice was obvious.