CS 277: Data Centric Computer Architecture

2022-23 2023-24 →
changes (lax) changes (strict) ▾ 2023-24 →

Units: 4

Hours: Lecture, 3 hours; research, 3 hours

Catalog page 265

Prerequisites: CS 161; graduate standing; or consent of instructor

Description: Addresses the rapid growth of dataset size and the introduction of hardware accelerators, resulting in the data movement overhead becoming the major performance bottleneck. Includes system interconnects, I/O stacks, emerging non-volatile memory technologies, near-data processing, and data flow architectures.

Cross-listing: Cross-listed with EE 277.

Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.

Derived Information — The following is not part of the official catalog but is computed from catalog data.
Prerequisite graph not available.
Enrollment History (from UCR Banner, not catalog)
Combined: CS 277 / EE 277
Year F W S Su Total
2025-26 13/45 13/45
2024-25 18/50 18/50
2023-24 25/60 25/60
2022-23 10/60 10/60
2021-22 24/60 24/60