Comments (4)
Not to my knowledge. In general, I don't know of any to implement
backsubstitution
efficiently with 1000s of threads on a GPU.
However, if find any references that explain how it can be done, I'd be happy
to look
at them.
Original comment by wnbell
on 26 Feb 2010 at 3:00
- Added labels: Type-Enhancement
- Removed labels: Type-Defect
from cusp-library.
Original comment by wnbell
on 26 Mar 2010 at 3:28
- Added labels: Milestone-Unscheduled
from cusp-library.
The algorithm in Cusparse works reasonably well.
Original comment by [email protected]
on 4 Jan 2012 at 11:44
from cusp-library.
There is version of the triangular solve method by Li and Saad in one of the
clones. In my opinion it isn't very robust without additional functionality to
perform reordering to reduce the number of sequential stages.
Original comment by [email protected]
on 28 Feb 2012 at 2:13
from cusp-library.
Related Issues (20)
- Patch for /cusp/detail/device/multiply.h HOT 2
- Error encountered when Cuspv0.3 is included with Visual C++
- TFQMR
- Does the algebraic multigrid preconditioner support cusp::complex?
- provide an easy CFD example using cusp.(cavity flow...)
- CUSP 0.3.0 breaks with CUDA5?
- missing thrust/system/cuda/detail/arch.h HOT 10
- print fails with complex dense matrices
- sparse diagonal matrix-vector multiplication is inconsistent across host and device memory HOT 2
- Confusion about the default format involved in matrix-vector multiplication
- Debugging experience about arch.h
- not able to compile
- Any plan to port this library to OpenCL ?
- gmres with b = 0 fails HOT 1
- Matrix Market example fails HOT 1
- CUSP 0.3.0 compatible with CUDA 5
- Patch for /examples/MatrixFormats/dia.cu
- Memory issue with diagonal format with row-major ordering HOT 3
- Feature Request: Krylov Mixed Precision Iterative Refinement Solver
- Calculation difference between GPU and CPU
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