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

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 100C
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 100C
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 313andCSCE 463orCSCE 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 463orCSCE 464or 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 411or equivalent or approval of instructor.