Somerville, MA, United States of America

Tobias M Weinberg


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 264(Granted Patents)


Company Filing History:


Years Active: 1993-1996

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2 patents (USPTO):Explore Patents

Title: Innovations of Tobias M Weinberg

Introduction

Tobias M Weinberg is a notable inventor based in Somerville, MA (US). He has made significant contributions to the field of software compilation, holding 2 patents that showcase his innovative approach to enhancing compiler efficiency and performance.

Latest Patents

Weinberg's latest patents include "Compiling a source code vector instruction by generating a subgrid loop" and "System and method for compiling a fine-grained array based source." The first patent describes a software compiler that features a code generator and a scheduler. This code generator transforms a lowered intermediate representation (IR) of a source computer program into an assembly language program using a non-standard instruction set. It effectively eliminates the effects of pipeline delays, simplifying the scheduler's task to maximize the use of functional units. The second patent introduces a parallel vector machine model designed to build a compiler that exploits various levels of parallelism found in parallel processing machines, particularly the Connection Machine CM-2 system. This model allows for the mapping of fine-grained array-based source programs onto a coarse-grained hardware setup, utilizing thousands of vector processors.

Career Highlights

Weinberg is currently employed at Thinking Machines Corporation, where he continues to develop innovative solutions in the realm of computing and software engineering. His work has significantly impacted the efficiency of compilers and parallel processing systems.

Collaborations

Some of his notable coworkers include Alexander D Vasilevsky and Lisa A Tennies, who have also contributed to advancements in the field of computer science.

Conclusion

Tobias M Weinberg's contributions to software compilation and parallel processing exemplify the spirit of innovation in technology. His patents reflect a deep understanding of complex systems and a commitment to enhancing computational efficiency.

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