Introduction

Library overview

hipSOLVER is an open-source marshalling library for LAPACK routines on the GPU. It sits between a backend library and the user application, marshalling inputs to and outputs from the backend library so that the user application remains unchanged when using different backends. Currently, two backend libraries are supported by hipSOLVER: NVIDIA’s cuSOLVER library and AMD’s open-source rocSOLVER library.

The regular hipSOLVER API is a thin wrapper layer around the different backends. As such, it is not expected to introduce significant overhead. However, its main purpose is portability, so when performance is critical, directly using the library backend corresponding to the given architecture is recommended.

Another purpose of hipSOLVER is to facilitate the translation of cuSOLVER applications to AMD’s open source ROCm platform ecosystem. To that end, hipSOLVER also includes a compatibility API with method signatures that match exactly those of cuSOLVER. For more details see the section Using hipSOLVER.

Currently implemented functionality

The hipSOLVER library remains in active development. New features are being continuously added, with new functionality documented at each release of the ROCm platform.

The following tables summarize the wrapper functions that are implemented in the regular API for the different supported precisions in hipSOLVER’s latest release. Most of these functions have a corresponding version in the compatibility API, where applicable.

LAPACK auxiliary functions

Table 1 Orthonormal matrices

Function	single	double	single complex	double complex
hipsolverXorgbr_bufferSize	x	x
hipsolverXorgbr	x	x
hipsolverXorgqr_bufferSize	x	x
hipsolverXorgqr	x	x
hipsolverXorgtr_bufferSize	x	x
hipsolverXorgtr	x	x
hipsolverXormqr_bufferSize	x	x
hipsolverXormqr	x	x
hipsolverXormtr_bufferSize	x	x
hipsolverXormtr	x	x

Table 2 Unitary matrices

Function	single	double	single complex	double complex
hipsolverXungbr_bufferSize			x	x
hipsolverXungbr			x	x
hipsolverXungqr_bufferSize			x	x
hipsolverXungqr			x	x
hipsolverXungtr_bufferSize			x	x
hipsolverXungtr			x	x
hipsolverXunmqr_bufferSize			x	x
hipsolverXunmqr			x	x
hipsolverXunmtr_bufferSize			x	x
hipsolverXunmtr			x	x

LAPACK main functions

Table 3 Triangular factorizations

Function	single	double	single complex	double complex
hipsolverXpotrf_bufferSize	x	x	x	x
hipsolverXpotrf	x	x	x	x
hipsolverXpotrfBatched_bufferSize	x	x	x	x
hipsolverXpotrfBatched	x	x	x	x
hipsolverXgetrf_bufferSize	x	x	x	x
hipsolverXgetrf	x	x	x	x
hipsolverXsytrf_bufferSize	x	x	x	x
hipsolverXsytrf	x	x	x	x

Table 4 Orthogonal factorizations

Function	single	double	single complex	double complex
hipsolverXgeqrf_bufferSize	x	x	x	x
hipsolverXgeqrf	x	x	x	x

Table 5 Problem and matrix reductions

Function	single	double	single complex	double complex
hipsolverXsytrd_bufferSize	x	x
hipsolverXsytrd	x	x
hipsolverXhetrd_bufferSize			x	x
hipsolverXhetrd			x	x
hipsolverXgebrd_bufferSize	x	x	x	x
hipsolverXgebrd	x	x	x	x

Table 6 Linear-systems solvers

Function	single	double	single complex	double complex
hipsolverXpotri_bufferSize	x	x	x	x
hipsolverXpotri	x	x	x	x
hipsolverXpotrs_bufferSize	x	x	x	x
hipsolverXpotrs	x	x	x	x
hipsolverXpotrsBatched_bufferSize	x	x	x	x
hipsolverXpotrsBatched	x	x	x	x
hipsolverXgetrs_bufferSize	x	x	x	x
hipsolverXgetrs	x	x	x	x
hipsolverXXgesv_bufferSize	x	x	x	x
hipsolverXXgesv	x	x	x	x

Table 7 Least-square solvers

Function	single	double	single complex	double complex
hipsolverXXgels_bufferSize	x	x	x	x
hipsolverXXgels	x	x	x	x

Table 8 Symmetric eigensolvers

Function	single	double	single complex	double complex
hipsolverXsyevd_bufferSize	x	x
hipsolverXsyevd	x	x
hipsolverXsygvd_bufferSize	x	x
hipsolverXsygvd	x	x
hipsolverXheevd_bufferSize			x	x
hipsolverXheevd			x	x
hipsolverXhegvd_bufferSize			x	x
hipsolverXhegvd			x	x

Table 9 Singular value decomposition

Function	single	double	single complex	double complex
hipsolverXgesvd_bufferSize	x	x	x	x
hipsolverXgesvd	x	x	x	x

LAPACK-like functions

Table 10 Symmetric eigensolvers

Function	single	double	single complex	double complex
hipsolverXsyevj_bufferSize	x	x
hipsolverXsyevj	x	x
hipsolverXsyevjBatched_bufferSize	x	x
hipsolverXsyevjBatched	x	x
hipsolverXsygvj_bufferSize	x	x
hipsolverXsygvj	x	x
hipsolverXheevj_bufferSize			x	x
hipsolverXheevj			x	x
hipsolverXheevjBatched_bufferSize			x	x
hipsolverXheevjBatched			x	x
hipsolverXhegvj_bufferSize			x	x
hipsolverXhegvj			x	x

Compatibility-only functions

The following tables summarize the wrapper functions that have not been implemented in rocSOLVER, but can be computed with an equivalent function that uses a different algorithmic approach. These functions are provided as part of the compatibility API only, pending their implementation in rocSOLVER.

Iterative Jacobi functions

rocSOLVER has yet to implement the following Jacobi functions, therefore hipSOLVER will instead call functions that use classic, non-iterative approaches (e.g. the QR algorithm). Note that parameters specific to the Jacobi algorithm will be ignored by the rocSOLVER backend, such as the error tolerance and number of iterations. All results are computed to machine precision.

Table 11 Singular value decomposition

Function	single	double	single complex	double complex
hipsolverDnXgesvdj_bufferSize	x	x	x	x
hipsolverDnXgesvdj	x	x	x	x
hipsolverDnXgesvdjBatched_bufferSize	x	x	x	x
hipsolverDnXgesvdjBatched	x	x	x	x

Partial eigensolver functions

Partial eigensolvers have been implemented in rocSOLVER, but at present they do not use a divide-and-conquer approach.

Table 12 Symmetric eigensolvers

Function	single	double	single complex	double complex
hipsolverDnXsyevdx_bufferSize	x	x
hipsolverDnXsyevdx	x	x
hipsolverDnXsygvdx_bufferSize	x	x
hipsolverDnXsygvdx	x	x
hipsolverDnXheevdx_bufferSize			x	x
hipsolverDnXheevdx			x	x
hipsolverDnXhegvdx_bufferSize			x	x
hipsolverDnXhegvdx			x	x