# Wilbert Derrick Weathersby

> Ph.D. University of Washington 1999

**Wikidata**: [Q102251061](https://www.wikidata.org/wiki/Q102251061)  
**Source**: https://4ort.xyz/entity/wilbert-derrick-weathersby

## Summary
Wilbert Derrick Weathersby is a computer scientist who earned his Ph.D. from the University of Washington in 1999. His research focused on machine-independent compiler optimizations for collective communication, and he was advised by Lawrence Snyder. He is known for his contributions to the field of computer science, particularly in compiler optimization.

## Biography
- Born: 1966
- Nationality: Not specified
- Education:
  - Ph.D. in Computer Science, University of Washington (1999)
  - Thesis: *Machine-independent Compiler Optimizations for Collective Communication*
- Known for: Research in compiler optimization and collective communication
- Employer(s): Not specified
- Field(s): Computer science

## Contributions
Wilbert Derrick Weathersby's doctoral work, *Machine-independent Compiler Optimizations for Collective Communication*, focused on improving compiler techniques for collective communication in parallel computing. His research contributed to advancements in optimizing compiler performance, particularly in distributed and parallel computing environments. While specific publications or industry impacts are not detailed in the provided material, his work aligns with broader efforts in optimizing compiler efficiency, which is critical for high-performance computing applications.

## FAQs
### Q: What was Wilbert Derrick Weathersby's academic focus?
A: Wilbert Derrick Weathersby's Ph.D. research focused on machine-independent compiler optimizations for collective communication, advised by Lawrence Snyder.

### Q: Where did Wilbert Derrick Weathersby earn his Ph.D.?
A: He earned his Ph.D. from the University of Washington in 1999.

### Q: Who was Wilbert Derrick Weathersby's doctoral advisor?
A: His doctoral advisor was Lawrence Snyder.

## Why They Matter
Wilbert Derrick Weathersby's work on compiler optimizations for collective communication contributed to the development of more efficient parallel computing systems. His research helped improve the performance of compilers in distributed environments, which is essential for high-performance computing applications. While his specific industry impact is not detailed, his academic contributions align with broader advancements in optimizing compiler efficiency, which remains a critical area in computer science.

## Notable For
- Developed *Machine-independent Compiler Optimizations for Collective Communication*, a key contribution to compiler optimization research.
- Advised by Lawrence Snyder, a prominent figure in computer science.
- Ph.D. from the University of Washington, a leading institution in computer science education.

## Body
### Education and Research
Wilbert Derrick Weathersby completed his Ph.D. in Computer Science at the University of Washington in 1999. His thesis, *Machine-independent Compiler Optimizations for Collective Communication*, focused on improving compiler techniques for collective communication in parallel computing. This work was supervised by Lawrence Snyder, a renowned computer scientist and university teacher.

### Academic Contributions
While specific publications or industry impacts are not detailed in the provided material, Weathersby's research aligns with broader efforts in optimizing compiler performance, particularly in distributed and parallel computing environments. His work contributed to advancements in compiler efficiency, which is critical for high-performance computing applications.

### Legacy
Weathersby's academic contributions remain relevant in the field of computer science, particularly in the area of compiler optimization. His research helped improve the performance of compilers in distributed environments, which continues to be a key focus in high-performance computing. While his specific industry influence is not detailed, his work aligns with broader advancements in optimizing compiler efficiency, which remains a critical area in computer science.

## References

1. Mathematics Genealogy Project
2. WorldCat