'Pipeline registers' presentation slideshows

Computer Design and Organization

Computer Design and Organization. Architecture = Design + Organization + Performance Architecture of modern computer systems Central processing unit : pipelined, exhibiting instruction level parallelism, and allowing speculation .

418 views • 41 slides

Advanced Embedded Systems

Advanced Embedded Systems. Lecture 7 Advances in Embedded Systems CPUs. Advanced Embedded Systems.

377 views • 35 slides

Data Hazards and Stalls

Data Hazards and Stalls. Data hazards and forwarding Data Hazards and Stalls. An Example. Assuming that register R2 = 10 initially. And the sub instruction will result in R2 = -20. Pipelined dependencies in a five instruction sequence using simplified datapaths to show the dependencies.

451 views • 33 slides

Data Hazards and Stalls

Data Hazards and Stalls. Data hazards and forwarding Data Hazards and Stalls. An Example. Assuming that register R2 = 10 initially. And the sub instruction will result in R2 = -20. Pipelined dependencies in a five instruction sequence using simplified datapaths to show the dependencies.

702 views • 33 slides

Processor Design

522 views • 32 slides

Recap (Pipelining)

Recap (Pipelining). What is Pipelining?. A way of speeding up execution of tasks Key idea : overlap execution of multiple taks. Automobile Manufacturing. 1. Build frame. 60 min. 2. Add engine. 50 min. 3. Build body. 80 min. 4. Paint. 40 min. 5. Finish. 45 min. 275 min.

466 views • 31 slides

Pipelining I

435 views • 29 slides

Pipelining I

299 views • 29 slides

Instruction-Level Parallelism (ILP)

Instruction-Level Parallelism (ILP). Fine-grained parallelism Obtained by: instruction overlap in a pipeline executing instructions in parallel (later, with multiple instruction issue) In contrast to: loop-level parallelism (medium-grained)

367 views • 24 slides

Asynchronous Pipelines: Concurrency Issues Arvind Computer Science & Artificial Intelligence Lab

Asynchronous Pipelines: Concurrency Issues Arvind Computer Science & Artificial Intelligence Lab Massachusetts Institute of Technology. Synchronous vs Asynchronous Pipelines. In a synchronous pipeline:

346 views • 23 slides

CMP/CMT Scaling of SPECjbb2005 on UltraSPARC T1 (Niagara)

10 th Workshop on Computer Architecture Evaluation using Commercial Workloads (CAECW-10). CMP/CMT Scaling of SPECjbb2005 on UltraSPARC T1 (Niagara). Dimitris Kaseridis and Lizy K. John The University of Texas at Austin Laboratory for Computer Architecture http://lca.ece.utexas.edu.

371 views • 17 slides