Data-Parallel Programming: Vector & SIMD Processors

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

Multiprocessors: Overview and Challenges

Covers the evolution and challenges of multiprocessors, emphasizing energy efficiency, parallel programming, cache coherence, and the role of GPUs.

Multithreading: Pipeline Utilization and Performance Impact

Explores multithreading in computer architecture, focusing on pipeline utilization and performance impact in various techniques, including blocked and fine-grained multithreading.

General Introduction to Big Data

Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.

Dynamic Binary Translation: Overcoming Binary Compatibility Challenges

Covers dynamic binary translation as a solution to binary compatibility issues in computer architectures.

Designing Datapath and Control Logic for ISA Instructions

Explores the design of datapath and control logic for executing ISA instructions, focusing on hardwired control and performance analysis.

Covers register renaming techniques essential for eliminating execution hazards in modern processors.

Compilers: Challenges with Digital Signal Processors

Covers the challenges of compiling for digital signal processors due to their unique architectural features and irregularities.

Principles of Parallelism

Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.

MIPS ISA: Instruction Classes and Addressing Modes

Explores MIPS ISA instruction classes, memory organization, and addressing modes, including examples and endianness.

Concurrent Programming: Theory to Practice

Explores concurrent programming theory and practice, covering system models, cache coherence, and graph processing.