Dr. Guy Blelloch

Professor

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Biography

Guy Blelloch is a Professor in the Computer Science Department at Carnegie Mellon University. His main research interests focus on interaction algorithms and programming languages, particularly in the realm of parallel computing. He has conducted both theoretical and experimental work on the complexity of programming languages as they evolve into higher levels of abstraction. As implementations become more complex and the amount of parallelism increases, users are distanced from hardware costs. Rather than requiring programmers to understand low-level machine details to obtain optimal performance, Blelloch advocates for bringing programming languages and cost models closer to the programmer's level. His research addresses questions related to modeling costs such as time and space for very-high level programming constructs like dynamic parallelism and garbage collection. Recently, he has been involved with the PSCICO project, collaborating with notable researchers Gary Miller, Bob Harper, and Peter Lee, aimed at leveraging high-level programming constructs for geometric and scientific algorithms. He also continues to work on applied algorithms, parallel garbage collection, and scheduling within the context of the NESL programming language, which he developed with students in the early 1990s.

Research Interests

Courses

15852 - Spring, 2026 15210 - Fall, 2025 15210 - Fall, 2024 15852 - Spring, 2024

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.