 }
 
     template<typename m_t, typename v_t>
-__global__ void SELLT_kernel_CU_tmpl(v_t *lhs, v_t *rhs, ghost_spmv_flags_t flags, ghost_idx_t nrows, ghost_idx_t nrowspadded, ghost_idx_t *rowlen, ghost_idx_t *col, m_t *val, ghost_nnz_t *chunkstart, ghost_idx_t *chunklen, ghost_idx_t C, int T, v_t shift, v_t alpha, v_t beta, v_t *localdot, const bool do_axpy, const bool do_axpby, const bool do_scale, const bool do_shift, const bool do_localdot)
+__global__ void SELLT_kernel_CU_tmpl(v_t *lhs, v_t *rhs, ghost_spmv_flags_t flags, ghost_idx_t nrows, ghost_idx_t nrowspadded, ghost_idx_t *rowlen, ghost_idx_t *col, m_t *val, ghost_nnz_t *chunkstart, ghost_idx_t *chunklen, ghost_idx_t C, int T, v_t *shift, v_t alpha, v_t beta, v_t *localdot, const bool do_axpy, const bool do_axpby, const bool do_scale, const bool do_shift, const bool do_vshift, const bool do_localdot)
 {
     int i = threadIdx.x+blockIdx.x*blockDim.x;
 

                    WARNING_LOG("Not enough shared memory available! CUDA kernel will not execute!");\
                }\
                dim3 block(SELL_CUDA_THREADSPERBLOCK/SELL(mat)->T,SELL(mat)->T);\
                SELLT_kernel_CU_tmpl<dt1,dt2><<<SELL_CUDA_NBLOCKS,block,reqSmem>>>((dt2 *)lhs->cu_val,(dt2 *)rhs->cu_val,flags,mat->nrows,mat->nrowsPadded,SELL(mat)->cumat->rowLen,SELL(mat)->cumat->col,(dt1 *)SELL(mat)->cumat->val,SELL(mat)->cumat->chunkStart,SELL(mat)->cumat->chunkLen,SELL(mat)->chunkHeight,SELL(mat)->T,shift,scale,beta,(dt2 *)cu_localdot,flags&GHOST_SPMV_AXPY,flags&GHOST_SPMV_AXPBY,flags&GHOST_SPMV_SCALE,flags&GHOST_SPMV_SHIFT,flags&GHOST_SPMV_DOT);\
                /*SWITCH_BOOLS(SELLT_kernel_CU_tmpl,dt1,dt2,SELL_CUDA_NBLOCKS,block,reqSmem)*/\
            } else {\
                int blockheight = PAD((int)ceil((double)SELL_CUDA_THREADSPERBLOCK/rhs->traits.ncols),SELL(mat)->chunkHeight);\

        } else {
            if (!do_scale) {
                if (do_axpy) {
                    lhs[i] = axpy<v_t,float>(lhs[i],axpy<v_t,v_t>(tmp,rhs[i],scale2<v_t,float>(shift[0],-1.f)),1.f);
                } else if (do_axpby) {
                    lhs[i] = axpy<v_t,float>(scale<v_t>(lhs[i],beta),axpy<v_t,v_t>(tmp,rhs[i],scale2<v_t,float>(shift[0],-1.f)),1.f);
                } else {
                    lhs[i] = axpy<v_t,v_t>(tmp,rhs[i],scale2<v_t,float>(shift[0],-1.f));
                }
            } else {
                if (do_axpy) {
                    lhs[i] = axpy<v_t,float>(lhs[i],scale<v_t>(alpha,axpy<v_t,v_t>(tmp,rhs[i],scale2<v_t,float>(shift[0],-1.f))),1.f);
                } else if (do_axpby) {
                    lhs[i] = axpy<v_t,float>(scale<v_t>(lhs[i],beta),scale<v_t>(alpha,axpy<v_t,v_t>(tmp,rhs[i],scale2<v_t,float>(shift[0],-1.f))),1.f);
                } else {
                    lhs[i] = scale<v_t>(alpha,axpy<v_t,v_t>(tmp,rhs[i],scale2<v_t,float>(shift[0],-1.f)));
                }
            }
            
