OpenMP to GPGPU: a compiler framework for automatic translation and optimization
GPGPUs have recently emerged as powerful vehicles for general-purpose high-
performance computing. Although a new Compute Unified Device Architecture (CUDA) …
performance computing. Although a new Compute Unified Device Architecture (CUDA) …
MIMD Programs Execution Support on SIMD Machines: A Holistic Survey
D Mustafa, R Alkhasawneh, F Obeidat… - IEEE Access, 2024 - ieeexplore.ieee.org
The Single Instruction Multiple Data (SIMD) architecture, supported by various high-
performance computing platforms, efficiently utilizes data-level parallelism. The SIMD model …
performance computing platforms, efficiently utilizes data-level parallelism. The SIMD model …
Integrated design of AES (Advanced Encryption Standard) encrypter and decrypter
CC Lu, SY Tseng - Proceedings IEEE International Conference …, 2002 - ieeexplore.ieee.org
This paper proposed a method of integrating the AES encrypter and the AES decrypter into a
full functional AES crypto-engine. This method can make it a very low-complexity …
full functional AES crypto-engine. This method can make it a very low-complexity …
Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations
A trend that has materialized, and has given rise to much attention, is of the increasingly
heterogeneous computing platforms. Presently, it has become very common for a desktop or …
heterogeneous computing platforms. Presently, it has become very common for a desktop or …
GRace: a low-overhead mechanism for detecting data races in GPU programs
In recent years, GPUs have emerged as an extremely cost-effective means for achieving
high performance. Many application developers, including those with no prior parallel …
high performance. Many application developers, including those with no prior parallel …
A virtual memory based runtime to support multi-tenancy in clusters with GPUs
Graphics Processing Units (GPUs) are increasingly becoming part of HPC clusters.
Nevertheless, cloud computing services and resource management frameworks targeting …
Nevertheless, cloud computing services and resource management frameworks targeting …
Recent trends in software and hardware for GPGPU computing: a comprehensive survey
B Neelima, PS Raghavendra - 2010 5th International …, 2010 - ieeexplore.ieee.org
With the growth of Graphics Processor (GPU) programmability and processing power,
graphics hardware has become a compelling platform for computationally demanding tasks …
graphics hardware has become a compelling platform for computationally demanding tasks …
High-throughput analysis of large microscopy image datasets on CPU-GPU cluster platforms
Analysis of large pathology image datasets offers significant opportunities for the
investigation of disease morphology, but the resource requirements of analysis pipelines …
investigation of disease morphology, but the resource requirements of analysis pipelines …
Gmrace: Detecting data races in gpu programs via a low-overhead scheme
In recent years, GPUs have emerged as an extremely cost-effective means for achieving
high performance. While languages like CUDA and OpenCL have eased GPU programming …
high performance. While languages like CUDA and OpenCL have eased GPU programming …
Using shared memory to accelerate mapreduce on graphics processing units
Modern General Purpose Graphics Processing Units (GPGPUs) provide high degrees of
parallelism in computation and memory access, making them suitable for data parallel …
parallelism in computation and memory access, making them suitable for data parallel …