4 papers
Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations
Peng Chen, Mohamed Wahib, Xiao Wang +4
Computed Tomography (CT) is a key 3D imaging technology that fundamentally relies on the compute-intense back-projection operation to generate 3D volumes. GPUs are typically used f…
Matrix Engines for High Performance Computing:A Paragon of Performance or Grasping at Straws?
Jens Domke, Emil Vatai, Aleksandr Drozd +8
Matrix engines or units, in different forms and affinities, are becoming a reality in modern processors; CPUs and otherwise. The current and dominant algorithmic approach to Deep L…
iFDK: A Scalable Framework for Instant High-resolution Image Reconstruction
Peng Chen, Mohamed Wahib, Shinichiro Takizawa +2
Computed Tomography (CT) is a widely used technology that requires compute-intense algorithms for image reconstruction. We propose a novel back-projection algorithm that reduces th…
A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels
Peng Chen, Mohamed Wahib, Shinichiro Takizawa +2
This paper proposes a versatile high-performance execution model, inspired by systolic arrays, for memory-bound regular kernels running on CUDA-enabled GPUs. We formulate a systoli…