TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs
Linear algebra operations have been widely used in big data analytics and scientific
computations. Many works have been done on optimizing linear algebra operations on …
computations. Many works have been done on optimizing linear algebra operations on …
FT-ScaLAPACK: Correcting soft errors on-line for ScaLAPACK Cholesky, QR, and LU factorization routines
It is well known that soft errors in linear algebra operations can be detected off-line at the
end of the computation using algorithm-based fault tolerance (ABFT). However, traditional …
end of the computation using algorithm-based fault tolerance (ABFT). However, traditional …
Correcting soft errors online in fast fourier transform
While many algorithm-based fault tolerance (ABFT) schemes have been proposed to detect
soft errors offline in the fast Fourier transform (FFT) after computation finishes, none of the …
soft errors offline in the fast Fourier transform (FFT) after computation finishes, none of the …
Algorithm-directed data placement in explicitly managed non-volatile memory
The emergence of many non-volatile memory (NVM) techniques is poised to revolutionize
main memory systems because of the relatively high capacity and low lifetime power …
main memory systems because of the relatively high capacity and low lifetime power …
Online algorithm-based fault tolerance for cholesky decomposition on heterogeneous systems with gpus
Extensive researches have been done on developing and optimizing algorithm-based fault
tolerance (ABFT) schemes for systolic arrays and general purpose microprocessors …
tolerance (ABFT) schemes for systolic arrays and general purpose microprocessors …
FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance
K-means is a widely used algorithm in clustering, how-ever, its efficiency is primarily
constrained by the computational cost of distance computing. Existing implementations …
constrained by the computational cost of distance computing. Existing implementations …
Rethinking algorithm-based fault tolerance with a cooperative software-hardware approach
Algorithm-based fault tolerance (ABFT) is a highly efficient resilience solution for many
widely-used scientific computing kernels. However, in the context of the resilience …
widely-used scientific computing kernels. However, in the context of the resilience …
Tsm2x: High-performance tall-and-skinny matrix–matrix multiplication on gpus
Linear algebra operations have been widely used in big data analytics and scientific
computations. Many works have been done on optimizing linear algebra operations on …
computations. Many works have been done on optimizing linear algebra operations on …
Fault tolerant one-sided matrix decompositions on heterogeneous systems with gpus
Current algorithm-based fault tolerance (ABFT) approach for one-sided matrix
decomposition on heterogeneous systems with GPUs have following limitations:(1) they do …
decomposition on heterogeneous systems with GPUs have following limitations:(1) they do …
Software approaches for resilience of high performance computing systems: a survey
With the scaling up of high-performance computing systems in recent years, their reliability
has been descending continuously. Therefore, system resilience has been regarded as one …
has been descending continuously. Therefore, system resilience has been regarded as one …