Company Filing History:
Years Active: 1983-1988
Title: Innovations of Allan E. Helenius
Introduction
Allan E. Helenius is a notable inventor based in Westford, MA (US). He has made significant contributions to the field of digital data processing systems. With a total of 2 patents, his work focuses on enhancing the efficiency of central processing units.
Latest Patents
Helenius's latest patents include an "Instruction Prefetch System for Conditional Branch Instruction" and an "Accelerator Processor for a Data Processing System." The first patent describes a central processor unit that processes prefetched instructions, including conditional branch instructions. It features a fetch unit with separate portions for retrieving operands and instructions. This innovation allows the processor to prefetch 'branch not taken' instructions while initially using the operand fetch portion for 'branch taken' instructions. If the branch is not taken, the prefetch operation is aborted, optimizing the instruction flow.
The second patent outlines a special instruction processor that connects to a central processing unit. This processor efficiently handles a predetermined set of instructions by generating an overriding signal that alters the operation of the central processor. This design enhances the overall performance of data processing systems by allowing the special instruction processor to compute results directly.
Career Highlights
Allan E. Helenius has worked at Digital Equipment Corporation, where he has contributed to various advancements in technology. His expertise in digital data processing has positioned him as a key figure in the industry.
Collaborations
Helenius has collaborated with notable coworkers such as William F. Bruckert and Tryggve Fossum. Their combined efforts have led to innovative solutions in the field of data processing.
Conclusion
Allan E. Helenius's contributions to digital data processing through his patents and work at Digital Equipment Corporation highlight his role as an influential inventor. His innovations continue to impact the efficiency of central processing units in modern computing.