1. Compiler Back End Panel
Robert Geva Intel Compiler Lab
2018/11/24

2. Back End Compiler Panel
1) Are compiler code generation techniques going to transition along with the hardware transition from multi-core to many-core and hybrid systems and at what speed?
2) What information do you need from a Compiler Intermediate Format to efficiently utilize multi-core, many-core and hybrid systems that is not available from traditional languages like C, C++, or F90? Are you looking at directive-based or library-based approaches or is there another approach that you like?
3) Is embedded global memory addressing (like Co-Array Fortran) to be widely available and supported even on distributed memory systems?
4) What kind of hybrid systems or processor extensions are going to be supported by your compiler's code generation suite?
5) What new run-time libraries will be available to utilize multi-core, many-core, and hybrid systems and will they work seamlessly through dynamic linking?

3. Are compiler code generation techniques going to transition along with the hardware transition from multi-core to many-core and hybrid systems and at what speed?
JIT compiling Ct: Research technology for a data parallel language
Forward scaling to future architectures
Save costly memory copying by delayed code generation
Validation
Multiple targets
11/24/2018

4. Is “limit” loop invariant?
Are you looking at directive-based or library-based approaches or is there another approach that you like
Is “limit” loop invariant?
Needs more work
Here’s my code
Interactive Compiler technology to Guide the programmer to write serial code with directives and restructuring, leading to automatic parallelism
11/24/2018

5. Is embedded global memory addressing (like Co-Array Fortran) to be widely available and supported even on distributed memory systems?
Minimize changes to programming practices
Use familiar concepts, existing programming languages, integrate into advanced platform technologies
Goals
Data parallel language: Start programming from data parallelism perspective, use array notations. Tool chain will transform and target a CPU and Larrabee combination
Offload language: Start with task parallelism, and use directives to offload computation
Solutions
11/24/2018

6. What kind of hybrid systems or processor extensions are going to be supported by your compiler's code generation suite?
Existing SIMD SSE, SSE2, SSE3, SSE4
LRB new instructions 512 width Masked operations Broadcasts, swizzles
Advanced Vector eXtensions 256 width
3 operand, non destructive Enhanced data re-arrangement
11/24/2018

7. What new run-time libraries will be available to utilize multi-core, many-core, and hybrid systems and will they work seamlessly through dynamic linking?
Resource coordination and task scheduling Generic algorithms, equivalent to language extensions Domain specific libraries Including math libraries New domains, natural language processing, gesture recognition DLL hell? No good news
11/24/2018