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http://www.ee.oulu.fi/research/tklab/courses/521480S/luennot/luento9.pdf
HW support for More ILP • Speculative execution : allow an instruction to issue that is dependent on branch predicted to be taken without any consequences (including exceptions) if branch is not actually taken. • Hardware needs to undo the instruction - hard to do if there are exceptions • Simple solution - don’t do speculative moves if the
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.
http://cseweb.ucsd.edu/classes/fa02/cse240a/ilp5.pdf
Compiler support for ILP: Software Pipelining • Observation: if iterations from loops are independent, 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 iterations of the original loop Iteration 0 Iteration 1 Iteration
https://www.cs.umd.edu/class/spring2015/cmsc411-0201/lectures/lecture15_ILP_new.pdf
1 Instruction Level Parallelism 1 (Compiler Techniques) CMSC 411 - 7 (from Patterson) 2 Outline • ILP • Compiler techniques to increase ILP • Loop Unrolling • Static Branch Prediction • Dynamic Branch Prediction • Overcoming Data Hazards with Dynamic Scheduling • Tomasulo Algorithm • Conclusion
https://software.intel.com/en-us/mkl-macos-developer-guide-using-the-ilp64-interface-vs-lp64-interface
Dec 16, 2019 · Support large data arrays (with more than 2 31-1 elements) Enable compiling your Fortran code with the -i8 compiler option The LP64 interface provides compatibility with the previous Intel® MKL versions because "LP64" is just a new name for the only interface that the Intel® MKL versions lower than 9.1 provided.
https://courses.cs.washington.edu/courses/csep548/06au/lectures/vLIW.pdf
Compiler support to increase ILP • compiler creates each VLIW word • greater need for good code scheduling than with in-order issue superscalars • instruction doesn’t issue if 1 operation can’t. 3 Autumn 2006 CSE P548 - VLIW 5 VLIW Processors More compiler support to increase ILP
http://www.ee.unlv.edu/~meiyang/ecg700/readings/acomparisonoffullandpartial.pdf
predicate support enables the compiler to perform full if- conversion to eliminate branches and expose ILP.
https://courses.cs.washington.edu/courses/csep548/06au/lectures/vLIW.pdf
Compiler Support for Increasing ILP Software pipelining • a simple example decrement index termination test conditional branch Autumn 2006 CSE P548 - VLIW 8 Iteration n-2 Iteration n-1 Iteration n ld R0,0(R1) add R4,R0,R2 ld st R4,0(R1) add ld st add st Compiler Support for Increasing ILP …
http://booksite.mkp.com/9780123838728/references/appendix_h.pdf
the reader to have a basic understanding of the compiler techniques used to 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-
http://www.hpl.hp.com/techreports/92/HPL-92-132.pdf
Instruction-levelParallelism (ILP) is a family of processor and compiler design techniques that speed up execution by causing individual machine operations, such as memory loads and stores, integer additions and floating point multiplications, to execute in parallel.
https://www.researchgate.net/publication/3661198_A_comparison_of_full_and_partial_predicated_execution_support_for_ILP_processors
A comparison of full and partial predicated execution support for ILP processors ... execution support. With our current compiler technology, we show that the compiler can use both partial and ...
http://cseweb.ucsd.edu/classes/wi05/cse240a/ilp4.pdf
Compiler support for ILP: Software Pipelining • Observation: if iterations from loops are independent, 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 iterations of the original loop Iteration 0 Iteration 1 Iteration
http://www.eecs.umich.edu/eecs/about/articles/2015/p45-mahlke.pdf
Effective Compiler Support for Predicated Execution Using the Hyperblock ... and scheduling techniques are utilized by the compiler to find sufficient ILP. A common problem all global optimiza- tion and scheduling strategies must resolve is conditional branches in the target application. ...
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 ... More Hardware Features to Support ILP
http://www.cs.unc.edu/Events/Conferences/GP2/slides/Cooper.pdf
Compiler Support for GPUs: Challenges, Obstacles, & Opportunities Keith D. Cooper Department of Computer Science Rice University Houston, Texas or Why doesn’t GCC generate good code for my GPU? Compiler Support for GPUs 1
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
http://www.ucdenver.edu/faculty-staff/dconnors/Documents/papers/isca-99-decision.pdf
The Program Decision Logic Approach to Predicated Execution ... Instruction-Level Parallelism (ILP) to achieve the promised performance increases of superscalar and VLIW processors. ... During the process of developing our compiler support for pro-grammatic logic …
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://www2.seas.gwu.edu/~bhagiweb/cs211/lectures/Advanced-ILP.pdf
- Can we provide some H/W support to help the compiler – leads to EPIC/VLIW Multiple Issue ILP Processors In statically scheduled superscalar instructions issue in order, and all pipeline hazards checked at issue time - Inst causing hazard will force subsequent inst to be stalled In statically scheduled VLIW, compiler generates
http://web.cse.ohio-state.edu/~parthasarathy.2/775/Lectures/advancedILP-cont.ppt
Compiler techniques for exposing ILP (cont) Loop-Level Parallelism Analysis at the source level Dependencies across iterations Loop-Carried Dependences Compiler support for ILP Dependence analysis Finding dependences is important for: Good scheduling of code Determining loop-level parallelism Eliminating name dependencies Complexity Simple for scalar variable references …
https://experts.illinois.edu/en/publications/comparison-of-full-and-partial-predicated-execution-support-for-i
Comparison of full and partial predicated execution support for ILP processors. In ACM SIGARCH (Association for Computing Nachinery Special Interest Group on Computer Architecture) - Conference Proceedings (pp. 138-149). ACM.
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