Parallel and Distributed Computing

Parallel and distributed systems are collections of computing devices that communicate with each other to accomplish some task, and they range from shared-memory multiprocessors to clusters of workstations to the internet itself. These systems provide potential advantages of resource sharing, faster computation, higher availability and fault-tolerance. Achieving these advantages requires advances in architecture, networks, operating systems, programming languages and algorithms, taking into account new challenges posed by concurrency.

Research Faculty

Dilma Da Silva

Professor, Computer Science & Engineering
Ford Motor Company Design Professor II
Regents Professor

Office: PETR 227
Phone: 979-458-8008
Email: dilma@cse.tamu.edu

Tim Davis

Professor, Computer Science & Engineering

Office: PETR 235
Phone: 979-845-4094
Email: davis@tamu.edu

Jeff Huang

Associate Professor, Computer Science & Engineering

Office: PETR 236
Phone: 979-845-5485
Email: jeff@cse.tamu.edu

Dmitri Loguinov

Professor, Computer Science & Engineering

Office: PETR 209
Phone: 979-845-0512
Email: dmitri@cse.tamu.edu

Abdullah Muzahid

Assistant Professor, Computer Science & Engineering

Office: PETR 206
Phone: 979-458-1059
Email: abdullah.muzahid@cse.tamu.edu

Khanh Nguyen

Assistant Professor, Computer Science & Engineering

Office: PETR 229
Phone: 979-458-1904
Email: khanhtn@tamu.edu

Lawrence Rauchwerger

Emeritus Professor, Computer Science & Engineering

Office: HRBB 417A
Phone: 979-845-8872
Email: rwerger@cse.tamu.edu

Vivek Sarin

Associate Professor, Computer Science & Engineering
Undergraduate Advisor

Office: PETR 415 | Advising: EABA 102
Phone: 979-845-4087
Email: sarin@cse.tamu.edu

Radu Stoleru

Professor, Computer Science & Engineering

Office: PETR 324
Phone: 979-862-8349
Email: stoleru@cse.tamu.edu

Shawna Thomas

Instructional Assistant Professor, Computer Science & Engineering
Undergraduate Advisor

Office: PETR 319 | Advising: EABA 104
Phone: 979-862-8877
Email: sthomas@tamu.edu

Courses Offered

CSCE 662. Distributed Processing Systems. Credits 3. 3 Lecture Hours

Principles and practices of distributed processing; protocols, remote procedure calls; file sharing; reliable system design; load balancing; distributed database systems; protection and security; implementation.

Prerequisite: CSCE 313 and CSCE 463 or CSCE 612.

CSCE 664. Wireless and Mobile Systems. Credits 3. 3 Lecture Hours

Wireless and mobile systems; wireless communication fundamentals; wireless medium access control design; transmission scheduling; network and transport protocols over wireless design, simulation and evaluation; wireless capacity; telecommunication systems; vehicular, adhoc, and sensor network systems; wireless security; mobile applications.

Prerequisite: CSCE 463 or CSCE 464 or approval of instructor.

CSCE 668. Distributed Algorithms and Systems. Credits 3. 3 Lecture Hours

Introduction to fundamental algorithmic results in distributed computing systems; leader election, mutual exclusion, consensus, logical time and causality, distributed snapshots, algorithmic fault tolerance, shared memory, clock synchronization.

Prerequisite: CSCE 411 or equivalent or approval of instructor.