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High-performance gpu-to-cpu transpilation and optimization via high-level parallel constructs
While parallelism remains the main source of performance, architectural implementations
and programming models change with each new hardware generation, often leading to …
and programming models change with each new hardware generation, often leading to …
[PDF][PDF] Towards Unified Analysis of GPU Consistency
H Tong, N Gavrilenko… - 29th ACM …, 2024 - hernanponcedeleon.github.io
After more than 30 years of research, there is a solid understanding of the consistency
guarantees given by CPU systems. Unfortunately, the same is not yet true for GPUs. The …
guarantees given by CPU systems. Unfortunately, the same is not yet true for GPUs. The …
Towards Alignment of Parallelism in SYCL and ISO C++
SYCL began as a C++ abstraction for OpenCL concepts, whereas parallelism in ISO C++
evolved from the algorithms in the standard library. This history has resulted in the two …
evolved from the algorithms in the standard library. This history has resulted in the two …
Taking back control in an intermediate representation for gpu computing
We describe our experiences successfully applying lightweight formal methods to
substantially improve and reformulate an important part of Standard Portable Intermediate …
substantially improve and reformulate an important part of Standard Portable Intermediate …
Efficient Tree-based Parallel Algorithms for N-Body Simulations Using C++ Standard Parallelism
TL Cassell, T Deakin, A Alpay… - SC24-W: Workshops …, 2024 - ieeexplore.ieee.org
The Barnes-Hut approximation for N-body simulations reduces the time complexity of the
naive all-pairs approach from O (N 2) to O (N log N) by hierarchically aggregating nearby …
naive all-pairs approach from O (N 2) to O (N log N) by hierarchically aggregating nearby …
Dynamical. JS: A composable framework for online exploratory visualization of arbitrarily-complex multivariate networks
RL Dotson - 2023 - search.proquest.com
Multivariate networks (henceforth, graphs) represent entities (vertices or nodes), their
relationships to each other (edges), and manifest or derived data about both (attributes) …
relationships to each other (edges), and manifest or derived data about both (attributes) …
[KİTAP][B] Eventify Meets Heterogeneity: Enabling Fine-grained Task-parallelism on GPUs
L Morgenstern - 2024 - juser.fz-juelich.de
Processors become fatter, not faster. For decades, each new transistor generation provided
smaller transistors that could switch faster than ever before. This enabled new processors to …
smaller transistors that could switch faster than ever before. This enabled new processors to …
Supercharging Programming through Compiler Technology
WS Moses - 2023 - dspace.mit.edu
The decline of Moore's law and an increasing reliance on computation has led to an
explosion of specialized software packages and hardware architectures. While this diversity …
explosion of specialized software packages and hardware architectures. While this diversity …
[PDF][PDF] Guided rewriting and constraint satisfaction for parallel GPU code generation
N Mogers - 2023 - core.ac.uk
Abstract Graphics Processing Units (GPUs) are notoriously hard to optimise for manually
due to their scheduling and memory hierarchies. What is needed are good automatic code …
due to their scheduling and memory hierarchies. What is needed are good automatic code …