Displaying 3 results from an estimated 3 matches for "dumpobjects".
2017 Nov 14
1
OrcJIT + CUDA Prototype for Cling
...
> return Obj;
> }
>
> std::unique_ptr<TargetMachine> TM;
> const DataLayout DL;
> RTDyldObjectLinkingLayer ObjectLayer;
> ObjectTransformLayer<decltype(ObjectLayer),
> decltype(&KaleidoscopeJIT::dumpObject)>
> DumpObjectsLayer;
> IRCompileLayer<decltype(DumpObjectsLayer), SimpleCompiler> CompileLayer;
>
> public:
> using ModuleHandle = decltype(CompileLayer)::ModuleHandleT;
>
> KaleidoscopeJIT()
> : TM(EngineBuilder().selectTarget()), DL(TM->createDataLayout()),
> ...
2017 Sep 27
2
OrcJIT + CUDA Prototype for Cling
Dear LLVM-Developers and Vinod Grover,
we are trying to extend the cling C++ interpreter
(https://github.com/root-project/cling) with CUDA functionality for
Nvidia GPUs.
I already developed a prototype based on OrcJIT and am seeking for
feedback. I am currently a stuck with a runtime issue, on which my
interpreter prototype fails to execute kernels with a CUDA runtime error.
=== How to use the
2020 Sep 04
2
Performance of JIT execution
Hello,
I recently noticed a performance issue of JIT execution vs native code of
the following simple logic which computes the Fibonacci sequence:
uint64_t fib(int n) {
if (n <= 2) {
return 1;
} else {
return fib(n-1) + fib(n-2);
}
}
When compiled natively using clang++ with -O3, it took 0.17s to compute
fib(40). However, when executing using LLJIT, fed with the IR output of
"clang++