Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Performance Tuning of Matrix Multiplication in OpenCL on Different GPUs and CPUs
Automatic tuning matrix multiplication performance on graphics hardware
Benchmarking GPUs to tune dense linear algebra
Improving Performance Portability in OpenCL Programs
Effective Implementation of DGEMM on modern multicore CPU
performance analysis and tuning for general purpose graphics processing units ( gpgpu ) .
Multi-threaded Sparse Matrix-Matrix Multiplication for Many-Core and GPU Architectures
A Closer Look at GPGPU
OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems
Parallel implementation of orthogonal matching pursuit in OpenCL
Exploration of OpenCL for FPGAs using SDAccel and comparison to GPUs and multicore CPUs
MPFFT: An Auto-Tuning FFT Library for OpenCL GPUs
Performance Analysis and Optimization of Clang's OpenMP 4.5 GPU Support
SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters
Bridging OpenCL and CUDA: a comparative analysis and translation
clMAGMA: high performance dense linear algebra with OpenCL
Performance, Design, and Autotuning of Batched GEMM for GPUs
batched matrix computations on hardware accelerators based on gpus .
Sparse Matrix-Vector Multiplication on GPGPUs
A Note on Auto-tuning GEMM for GPUs
FastSpMM: An Efficient Library for Sparse Matrix Matrix Product on GPUs
The Design and Implementation of FFTW3
The Aurora and Borealis Stream Processing Engines
Constraints in the IoT: The World in 2020 and Beyond
prevalence and risk factors of lipohypertrophy in insulin - injecting patients with diabetes .
Thinking about intentions