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// Copyright 2015 The Gemmlowp Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// block_params.h: Logic to choose L1 and L2 block sizes
// to optimize cache-friendliness.
#ifndef GEMMLOWP_INTERNAL_BLOCK_PARAMS_H_
#define GEMMLOWP_INTERNAL_BLOCK_PARAMS_H_
#include "common.h"
namespace gemmlowp {
// A BlockParams instance contains a full description of all the block size
// parameters to be used by a Gemm.
// There are two nested levels of block subdivisions: first a subdivision
// into large blocks that should fit in last-level cache (what we call L2 here)
// and then another subdivision into smaller blocks that should fit in
// L1 cache. There is then actually a third level of subdivision to fit
// in registers, but we are not concerned with that here.
struct BlockParams {
// L1 block parameters determine the size of small blocks that should
// fit in L1 cache.
int l1_rows;
int l1_cols;
int l1_depth;
// L2 block parameters determine the size of larger blocks that should
// fit in L2 cache.
int l2_rows;
int l2_cols;
int l2_depth;
template <typename KernelFormat>
void Init(int rows, int cols, int depth, int num_threads,
int l1_bytes_to_use, int l2_bytes_to_use, float l2_rhs_factor) {
FindL2BlockSizes<KernelFormat>(rows, cols, depth, num_threads,
l2_bytes_to_use, l2_rhs_factor,
&l2_rows, &l2_cols, &l2_depth);
FindL1BlockSizes<KernelFormat>(l2_rows, l2_cols, l2_depth,
l1_bytes_to_use,
&l1_rows, &l1_cols, &l1_depth);
}
template <typename KernelFormat>
static void FindL2BlockSizes(int rows, int cols, int depth, int num_threads,
int l2_bytes_to_use, float l2_rhs_factor,
int* out_l2_rows, int* out_l2_cols,
int* out_l2_depth) {
int l2_rows = 0;
int l2_cols = 0;
int l2_depth = 0;
// No L2 blocking in the depth dimension at the moment.
// Too much loss of accuracy due to storing intermediate results in
// low precision.
// However, we still want to round l2_depth up to the next multiple
// of register size, so as to avoid having to special-case unaligned depths.
l2_depth = RoundUp<kRegisterSize>(depth);
{
int max_cache_friendly_l2_cols = std::max(
1, static_cast<int>(l2_rhs_factor * (l2_bytes_to_use / l2_depth)));
int min_l2_cols_blocks =
std::max(1, CeilQuotient(cols, max_cache_friendly_l2_cols));
l2_cols =
RoundUp<KernelFormat::kCols>(CeilQuotient(cols, min_l2_cols_blocks));
}
// No L2 blocking in the row dimension if l2_rhs_factor is 1.0 as the row
// dimension concerns only the LHS. Blocking only RHS matrix for L2 enhances
// the performance on x86.
if (l2_rhs_factor == 1.0f) {
l2_rows = RoundUp<KernelFormat::kRows>(rows);
} else {
int max_cache_friendly_l2_rows =
std::max(1, (l2_bytes_to_use - l2_depth * l2_cols) /
(num_threads * (l2_depth + 4 * l2_cols)));
int min_l2_rows_blocks =
std::max(1, CeilQuotient(rows, max_cache_friendly_l2_rows));
l2_rows =
RoundUp<KernelFormat::kRows>(CeilQuotient(rows, min_l2_rows_blocks));
}
*out_l2_rows = l2_rows;
*out_l2_cols = l2_cols;
*out_l2_depth = l2_depth;
}
template <typename KernelFormat>
static void FindL1BlockSizes(int rows, int cols, int depth,
int l1_bytes_to_use, int* out_l1_rows,
int* out_l1_cols, int* out_l1_depth) {
int l1_rows = 0;
int l1_cols = 0;
int l1_depth = 0;
// L2 block sizes should already be multiples of kernel block sizes.
assert(rows % KernelFormat::kRows == 0);
assert(cols % KernelFormat::kCols == 0);
assert(depth % KernelFormat::kDepth == 0);
// No L1 blocking in the columns dimension at the moment.
// Thought not to be needed. Similar to Eigen.
l1_cols = cols;
{
int max_cache_friendly_l1_depth = std::max(
1, (l1_bytes_to_use - 4 * KernelFormat::kRows * KernelFormat::kCols) /
(KernelFormat::kRows + KernelFormat::kCols));
int min_l1_depth_blocks =
std::max(1, CeilQuotient(depth, max_cache_friendly_l1_depth));
l1_depth =
RoundUp<kRegisterSize>(CeilQuotient(depth, min_l1_depth_blocks));
}
{
int max_cache_friendly_l1_rows =
std::max(1, l1_bytes_to_use / (l1_depth + 4 * l1_cols));
int min_l1_rows_blocks =
std::max(1, CeilQuotient(rows, max_cache_friendly_l1_rows));
l1_rows =
RoundUp<KernelFormat::kRows>(CeilQuotient(rows, min_l1_rows_blocks));
}
*out_l1_rows = l1_rows;
*out_l1_cols = l1_cols;
*out_l1_depth = l1_depth;
}
};
// A SideBlockParams instance contains only the block params relevant to
// one side (LHS or RHS), expressed in terms of 'width' instead of
// rows/colums. See the explanation in kernel.h: in the LHS, 'width' means
// the number of rows, while in the RHS, 'width' means the number of columns.
// That allows us to write generic code that applies to either LHS or RHS.
struct SideBlockParams {
// L1 block parameters determine the size of small blocks that should
// fit in L1 cache.
int l1_width;
int l1_depth;
// L2 block parameters determine the size of larger blocks that should
// fit in L2 cache.
int l2_width;
int l2_depth;
};
enum class Side { Lhs, Rhs };
inline void GetSideBlockParams(Side side, SideBlockParams* side_block_params,
const BlockParams& block_params) {
side_block_params->l1_width =
side == Side::Lhs ? block_params.l1_rows : block_params.l1_cols;
side_block_params->l2_width =
side == Side::Lhs ? block_params.l2_rows : block_params.l2_cols;
side_block_params->l1_depth = block_params.l1_depth;
side_block_params->l2_depth = block_params.l2_depth;
}
} // namespace gemmlowp
#endif // GEMMLOWP_INTERNAL_BLOCK_PARAMS_H_
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