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Chapter 4. Exploiting Instruction-Level Parallelism with Software Approaches. ???. ??????????. November 2004. EEF011 Computer Architecture. ?????
Software Approaches to Exploiting Instruction Level Parallelism. Lecture notes by: David A. Patterson. Boris Savkovic. 2. 1. Introduction. 2. Basic Pipeline Scheduling. 3. Instruction Level Parallelism and Dependencies. 4. Local Optimizations and Loops. 5. Global Scheduling Approaches. 6. HW Support for Aggressive
A Quantitative Approach, Fifth Edition Dependencies are a property of programs; Pipeline organization determines if dependence is detected and if it causes a stall. Data dependence conveys: Possibility of a hazard; Order in which results must be calculated; Upper bound on exploitable instruction level parallelism.
Instruction-level parallelism (ILP) is a measure of how many of the instructions in a computer program can be executed simultaneously. There are two approaches to instruction level parallelism: Hardware · Software. Hardware level works upon dynamic parallelism whereas, the software level works on static parallelism.
HW Support for More ILP X A = B op C Avoid branch prediction by turning branches into conditionally executed instructions: If (X) then A = B op C else NOP If false, then neither store result nor cause exception Expanded ISA of Alpha, MIPS, PowerPC, SPARC have conditional move; PA-RISC can annul any following
Instruction-Level Parallelism (ILP). – Overlap the execution of instructions to improve performance. • 2 approaches to exploit ILP. 1. Rely on hardware to help discover and exploit the parallelism dynamically. – Pentium 4, AMD Opteron, IBM Power. 2. Rely on software technology to find parallelism, statically at compile-time.
Instruction-Level Parallelism 1. Concepts and Challenges. March 2014. 2. The potential overlap among instructions is called instruction-level parallelism (ILP). Two approaches exploiting ILP: Hardware discovers and exploit the parallelism dynamically. Software finds parallelism, statically at compile time. CPI for a pipelined
Chapter 4: Exploiting Instruction-Level Parallelism with Software Approaches. 4-1. Chapter 4. Exploiting Instruction-Level Parallelism with Software Approaches. Rung-Bin Lin. Chapter 4: Exploiting Instruction-Level Parallelism with Software Approaches. 4-2. Basic Compiler Techniques for Exposing. Basic pipeline
An Integrated Approach to Architecture and Operating Systems. Chapter 5. Processor Impacts execution time of program; If dynamic frequency of an instruction is high then can try to make enhancements to datapath and control to ensure that CPI taken for its execution is minimized. .. Instruction Level Parallelism (ILP).
4.1 Instruction Level Parallelism: Concepts and Challenges. 4.2 Overcoming Data Hazards with Dynamic Scheduling. 4.3 Reducing Branch Penalties with Dynamic Hardware Prediction. 4.4 Taking Advantage of More ILP with Multiple Issue. 4.5 Compiler Support for Exploiting ILP. 4.6 Hardware Support for Extracting more

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February 2018