Device memory allocation in rocBLAS

For temporary device memory, rocBLAS uses a per-handle memory allocation with out-of-band management. For more information, see the device memory allocation section of the :ref:programmers-guide.

The following computational functions use temporary device memory.

Function	Use of temporary device memory
L1 reduction functions rocblas_Xasum rocblas_Xasum_batched rocblas_Xasum_strided_batched rocblas_Xdot rocblas_Xdot_batched rocblas_Xdot_strided_batched rocblas_Xmax rocblas_Xmax_batched rocblas_Xmax_strided_batched rocblas_Xmin rocblas_Xmin_batched rocblas_Xmin_strided_batched rocblas_Xnrm2 rocblas_Xnrm2_batched rocblas_Xnrm2_strided_batched rocblas_dot_ex rocblas_dot_batched_ex rocblas_dot_strided_batched_ex rocblas_nrm2_ex rocblas_nrm2_batched_ex rocblas_nrm2_strided_batched_ex	Reduction array
L2 functions rocblas_Xgemv (optional) rocblas_Xgemv_batched rocblas_Xgemv_strided_batched rocblas_Xtbmv rocblas_Xtbmv_batched rocblas_Xtbmv_strided_batched rocblas_Xtpmv rocblas_Xtpmv_batched rocblas_Xtpmv_strided_batched rocblas_Xtrmv rocblas_Xtrmv_batched rocblas_Xtrmv_strided_batched rocblas_Xtrsv rocblas_Xtrsv_batched rocblas_Xtrsv_strided_batched rocblas_Xhemv rocblas_Xhemv_batched rocblas_Xhemv_strided_batched rocblas_Xsymv rocblas_Xsymv_batched rocblas_Xsymv_strided_batched rocblas_Xtrsv_ex rocblas_Xtrsv_batched_ex rocblas_Xtrsv_strided_batched_ex	Result array before overwriting input Column reductions of skinny transposed matrices applicable for gemv functions
L3 GEMM-based functions rocblas_Xtrsm rocblas_Xtrsm_batched rocblas_Xtrsm_strided_batched rocblas_Xsymm rocblas_Xsymm_batched rocblas_Xsymm_strided_batched rocblas_Xsyrk rocblas_Xsyrk_batched rocblas_Xsyrk_strided_batched rocblas_Xsyr2k rocblas_Xsyr2k_batched rocblas_Xsyr2k_strided_batched rocblas_Xsyrkx rocblas_Xsyrkx_batched rocblas_Xsyrkx_strided_batched rocblas_Xtrmm rocblas_Xtrmm_batched rocblas_Xtrmm_strided_batched rocblas_Xhemm rocblas_Xhemm_batched rocblas_Xhemm_strided_batched rocblas_Xherk rocblas_Xherk_batched rocblas_Xherk_strided_batched rocblas_Xher2k rocblas_Xher2k_batched rocblas_Xher2k_strided_batched rocblas_Xherkx rocblas_Xherkx_batched rocblas_Xherkx_strided_batched rocblas_Xgemm rocblas_Xgemm_batched rocblas_Xgemm_strided_batched rocblas_gemm_ex rocblas_gemm_ex_batched rocblas_gemm_ex_strided_batched rocblas_Xtrtri rocblas_Xtrtri_batched rocblas_Xtrtri_strided_batched	Block of matrix

Environment variable for preallocating memory

The environment variable ROCBLAS_DEVICE_MEMORY_SIZE is used to set how much memory to preallocate:

• If it is greater than 0, it sets the default handle device memory size to the specified size (in bytes).

• If it is equal to 0 or unset, it lets rocBLAS manage the device memory. It uses a default size, like 32MiB or 128MiB, and expands it when necessary.

Memory allocation functions

rocBLAS includes functions for manually setting the memory size and determining the memory requirements.

Functions for manually setting the memory size

• rocblas_set_device_memory_size

• rocblas_get_device_memory_size

• rocblas_is_user_managing_device_memory

Function for setting a user-owned workspace

• rocblas_set_workspace

Functions for determining memory requirements

• rocblas_start_device_memory_size_query

• rocblas_stop_device_memory_size_query

• rocblas_is_managing_device_memory

See the API section for information about these functions.

rocBLAS function return values for insufficient device memory

If the user preallocates or manually allocates, that size is used as the limit and no resizing or synchronizing ever occurs. The following two function return values indicate insufficient memory:

• rocblas_status == rocblas_status_memory_error : indicates there is insufficient device memory for a rocBLAS function.

• rocblas_status == rocblas_status_perf_degraded : indicates that a slower algorithm was used because of insufficient device memory for the optimal algorithm.

Stream-ordered memory allocation

Stream-ordered device memory allocation is added to rocBLAS. The asynchronous allocators hipMallocAsync() and hipFreeAsync() are used to allow allocation and deallocation to happen in stream order.

This is a non-default beta option that can be enabled by setting the environment variable ROCBLAS_STREAM_ORDER_ALLOC.

To check whether the device supports stream-order allocation, call hipDeviceGetAttribute() with the device attribute hipDeviceAttributeMemoryPoolsSupported.

Enabling stream-ordered memory allocation

On supported platforms, the environment variable ROCBLAS_STREAM_ORDER_ALLOC is used to enable stream-ordered memory allocation.

• If it is greater than 0 (> 0), it sets the allocation to be stream-ordered and uses hipMallocAsync/hipFreeAsync to manage device memory.

• If it is equal to zero (= 0) or unset, it uses hipMalloc and hipFree to manage device memory.

Switching streams without synchronization

Stream-order memory allocation lets the application switch streams without having to call hipStreamSynchronize().