Device Memory Allocation in rocBLAS

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
auxiliary rocblas_set_vector rocblas_get_vector rocblas_set_matrix rocblas_get_matrix	Buffer to compress noncontiguous arrays

For temporary device memory, rocBLAS uses a per-handle memory allocation with out-of-band management. The temporary device memory is stored in the handle. This allows for recycling temporary device memory across multiple computational kernels that use the same handle. Each handle has a single stream, and kernels execute in order in the stream, with each kernel completing before the next kernel in the stream starts. There are 4 schemes for temporary device memory:

1. rocBLAS_managed: This is the default scheme. If there is not enough memory in the handle, computational functions allocate the memory they require. Note that any memory allocated persists in the handle, so it is available for later computational functions that use the handle.

2. user_managed, preallocate: An environment variable is set before the rocBLAS handle is created, and thereafter there are no more allocations or deallocations.

3. user_managed, manual: The user calls helper functions to get or set memory size throughout the program, thereby controlling when allocation and deallocation occur.

4. user_owned: The user allocates workspace and calls a helper function to allow rocBLAS to access the workspace.

The default scheme has the disadvantage that allocation is synchronizing, so if there is not enough memory in the handle, a synchronizing deallocation and allocation occur.

Environment Variable for Preallocating

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

• If > 0, sets the default handle device memory size to the specified size (in bytes)

• If == 0 or unset, lets rocBLAS manage device memory, using a default size (like 32MB), and expanding it when necessary

Functions for Manually Setting Memory Size

• rocblas_set_device_memory_size

• rocblas_get_device_memory_size

• rocblas_is_user_managing_device_memory

Function for Setting User Owned Workspace

• rocblas_set_workspace

Functions for Finding How Much Memory Is Required

• rocblas_start_device_memory_size_query

• rocblas_stop_device_memory_size_query

• rocblas_is_managing_device_memory

See the API section for information on the above functions.

rocBLAS Function Return Values for Insufficient Device Memory

If the user preallocates or manually allocates, then 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 not sufficient 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. Asynchronous allocators ( hipMallocAsync() and hipFreeAsync() ) are used to allow allocation and free to be stream order.

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

A user may check if the device supports stream-order allocation by calling hipDeviceGetAttribute() with device attribute hipDeviceAttributeMemoryPoolsSupported.

Environment Variable to Enable Stream-Ordered Memory Allocation

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

• if > 0, sets the allocation to be stream-ordered, uses hipMallocAsync/hipFreeAsync to manage device memory.

• if == 0 or unset, uses hipMalloc/hipFree to manage device memory.

Supports Switching Streams Without Any Synchronization

Stream-order memory allocation allows switching of streams without the need to call hipStreamSynchronize().