Abstract: I present a tutorial overview demonstrating the key technique used by GPUVerify, a static verification tool for graphics processing unit (GPU) kernels. The technique is a method for translating a massively parallel GPU kernel into a sequential program such that correctness of the sequential program implies data race-freedom of the parallel kernel
This thesis presents a set of verification techniques based on permission-based separation logic to ...
pre-printWe present an automated symbolic verifier for checking the functional correctness of GPGPU ...
GPUs are getting more and more important in scientific computing, slowly growing from peripheral acc...
I present a tutorial overview demonstrating the key technique used by GPUVerify, a static verificati...
We report on practical experiences over the last 2.5 years related to the engineering of GPUVerify, ...
We present a technique for verifying race- and divergence-freedom of GPU kernels that are written in...
We present a technique for the formal verification of GPU kernels, addressing two classes of correct...
We present a technique for the formal verification of GPU kernels, addressing two classes of correct...
Abstract. Graphics Processing Units (GPUs) from leading vendors employ pred-icated (or guarded) exec...
GPUVerify is a static analysis tool for verifying that GPU kernels are free from data races and barr...
This document accompanies the article The Design and Implemen-tation of a Verification Technique for...
GPGPU (general purpose computing on graphics processing units) programming is one interesting way to...
This thesis is about scalable formal verification techniques for software. A verification technique ...
Abstract Graphics Processing Units (GPUs) are increasingly used for general-purpose applications bec...
Graphics Processing Units (GPUs) are increasingly used for general-purpose applications because of t...
This thesis presents a set of verification techniques based on permission-based separation logic to ...
pre-printWe present an automated symbolic verifier for checking the functional correctness of GPGPU ...
GPUs are getting more and more important in scientific computing, slowly growing from peripheral acc...
I present a tutorial overview demonstrating the key technique used by GPUVerify, a static verificati...
We report on practical experiences over the last 2.5 years related to the engineering of GPUVerify, ...
We present a technique for verifying race- and divergence-freedom of GPU kernels that are written in...
We present a technique for the formal verification of GPU kernels, addressing two classes of correct...
We present a technique for the formal verification of GPU kernels, addressing two classes of correct...
Abstract. Graphics Processing Units (GPUs) from leading vendors employ pred-icated (or guarded) exec...
GPUVerify is a static analysis tool for verifying that GPU kernels are free from data races and barr...
This document accompanies the article The Design and Implemen-tation of a Verification Technique for...
GPGPU (general purpose computing on graphics processing units) programming is one interesting way to...
This thesis is about scalable formal verification techniques for software. A verification technique ...
Abstract Graphics Processing Units (GPUs) are increasingly used for general-purpose applications bec...
Graphics Processing Units (GPUs) are increasingly used for general-purpose applications because of t...
This thesis presents a set of verification techniques based on permission-based separation logic to ...
pre-printWe present an automated symbolic verifier for checking the functional correctness of GPGPU ...
GPUs are getting more and more important in scientific computing, slowly growing from peripheral acc...