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http://www.ee.oulu.fi/research/tklab/courses/521480S/luennot/luento9.pdf
Lecture 9 Compiler and Hardware Support for ILP Computer Architectures 521480S . ... then can get ILP by taking instructions from different iterations • Software pipelining: reorganizes loops so that each iteration is made from instructions chosen from different ... – Compiler based speculation (needs HW support) – Hardware based speculation.
http://booksite.mkp.com/9780123838728/references/appendix_h.pdf
exploit ILP in modern computers. Hardware support for these compiler techniques can greatly increase their effectiveness, and Sections H.4 and H.5 explore such support. The IA-64 repre-sents the culmination of the compiler and hardware ideas for exploiting parallel-ism statically and includes support for many of the concepts proposed by
https://en.wikipedia.org/wiki/Instruction-level_parallelism
It is known that the ILP is exploited by both the compiler and hardware support but the compiler also provides inherent and implicit ILP in programs to hardware by compilation optimization. Some optimization techniques for extracting available ILP in programs would include scheduling, register allocation/renaming, and memory access optimization.
https://www.cs.umd.edu/class/spring2015/cmsc411-0201/lectures/lecture15_ILP_new.pdf
Instruction-Level Parallelism • 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
https://www.brainkart.com/article/Compiler-Techniques-for-Exposing-ILP_8834/
Feb 25, 2017 · Compiler Techniques for Exposing ILP . 1. Basic Pipeline Scheduling and Loop Unrolling . To avoid a pipeline stall, a dependent instruction must be separated from the source instruction by a distance in clock cycles equal to the pipeline latency of that source instruction.
https://www.brainkart.com/article/Hardware-Support-for-Exposing-More-Parallelism-at-Compiler-Time_8839/
Hardware Support for Exposing More Parallelism at Compiler Time . Techniques such as loop unrolling, software pipelining, and trace scheduling can be used to increase the amount of parallelism available when the behavior of branches is fairly predictable at compile time.
http://www.hpl.hp.com/techreports/92/HPL-92-132.pdf
hardware, for example several integer adders instead of just one, and that the control will allow, and possibly arrange, simultaneous access to whatever execution hardware is present. Consider the execution hardware of a simplified ILP processor consisting of four functional units and a branch unit connected to a common register file (Table 1).
https://www.cs.rice.edu/~kvp1/spring2008/lecture2.pdf
Evolution of ILP in Microprocessors ... COTS F P G A D s S P s Java. 3 3 Introduction to ILP • What is ILP? – Processor and Compiler design techniques that speed up execution by causing individual machine operations to execute in parallel • ILP is transparent to the user ...
http://www.ee.unlv.edu/~meiyang/ecg700/readings/acomparisonoffullandpartial.pdf
A Comparkon of Full and Partial Predicated Execution Support for ILP Processors Scott A. Mahlke* Richard E. Hank James E. McCormick David I. August Wen-mei W. Hwu Center for Reliable and High-Performance Computing University of Illinois Urbana-Champaign, IL 61801 Abstract One can effectively utilize predicated execution to improve
http://people.cs.pitt.edu/~cho/cs2410/current/lect-ilp_4up.pdf
What is the role of ISA for ILP packaging? • VLIW approach vs. superscalar approach • EPIC approach (e.g., Intel IA64) How can we exploit ILP at run time? • Minimal hardware support (w/ compiler support) • Dynamic OOO (out-of-order) execution support CS2410: Computer Architecture University of Pittsburgh Data dependence
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