20693208423

Committed 04 Jan 2026 12:54PM UTC coverage: 39.623% (-0.02%) from 39.64%

Build # 20693208423

Build Type

Pull #426

github

Committed by

web-flow

Commit Message

Merge 7542156e5 into 557466e40

Pull Request Pull Request #426: account for pointer dimension in memlet lonearization

Run Details

15070 of 49497 branches covered (30.45%)

Branch coverage included in aggregate %.

15 of 17 new or added lines in 1 file covered. (88.24%)

2 existing lines in 1 file now uncovered.

12942 of 21199 relevant lines covered (61.05%)

91.51 hits per line

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67.18

/src/passes/dataflow/memlet_linearization.cpp

#include "sdfg/passes/dataflow/memlet_linearization.h"

#include "sdfg/data_flow/data_flow_graph.h"
#include "sdfg/data_flow/memlet.h"
#include "sdfg/structured_control_flow/block.h"
#include "sdfg/symbolic/symbolic.h"
#include "sdfg/types/array.h"
#include "sdfg/types/pointer.h"
#include "sdfg/types/utils.h"
#include "sdfg/visitor/structured_sdfg_visitor.h"

namespace sdfg {
namespace passes {

MemletLinearization::
    MemletLinearization(builder::StructuredSDFGBuilder& builder, analysis::AnalysisManager& analysis_manager)
    : visitor::NonStoppingStructuredSDFGVisitor(builder, analysis_manager) {}

bool MemletLinearization::accept(structured_control_flow::Block& block) {
    bool applied = false;
    auto& dfg = block.dataflow();

    for (auto& memlet : dfg.edges()) {
        if (memlet.subset().empty()) {
            continue;
        }
        auto& base_type = memlet.base_type();
        if (base_type.type_id() != types::TypeID::Pointer) {
            continue;
        }
        auto& pointer_type = dynamic_cast<const types::Pointer&>(base_type);
        if (!pointer_type.has_pointee_type()) {
            continue;
        }

        // Check if pointee type contains arrays
        auto& pointee_type = pointer_type.pointee_type();
        const types::IType* current_type = &pointee_type;
        std::vector<symbolic::Expression> array_dimensions = {symbolic::one()};

        // Collect all array dimensions
        while (current_type->type_id() == types::TypeID::Array) {
            auto array_type = dynamic_cast<const types::Array*>(current_type);
            array_dimensions.push_back(array_type->num_elements());
            current_type = &array_type->element_type();
        }
        if (current_type->type_id() != types::TypeID::Scalar) {
            continue;
        }
        if (array_dimensions.size() == 1) {
            continue;
        }

        auto storage = pointer_type.storage_type();
        auto alignment = pointer_type.alignment();
        auto initializer = pointer_type.initializer();
        types::Pointer new_pointer_type(storage, alignment, initializer, *current_type);

        // Linearize subset
        auto old_subset = memlet.subset();
        data_flow::Subset new_subset;

        symbolic::Expression linearized_index = symbolic::zero();

        for (size_t i = 0; i < old_subset.size(); ++i) {
            symbolic::Expression stride = symbolic::one();

            // Calculate stride: product of all dimensions after current dimension
            for (size_t j = i + 1; j < array_dimensions.size(); ++j) {
                stride = symbolic::mul(stride, array_dimensions[j]);
            }
            linearized_index = symbolic::add(linearized_index, symbolic::mul(old_subset[i], stride));
        }

        new_subset.push_back(linearized_index);
        memlet.set_base_type(new_pointer_type);
        memlet.set_subset(new_subset);

        applied = true;
    }

    return applied;
}

} // namespace passes
} // namespace sdfg

1	#include "sdfg/passes/dataflow/memlet_linearization.h"
2
3	#include "sdfg/data_flow/data_flow_graph.h"
4	#include "sdfg/data_flow/memlet.h"
5	#include "sdfg/structured_control_flow/block.h"
6	#include "sdfg/symbolic/symbolic.h"
7	#include "sdfg/types/array.h"
8	#include "sdfg/types/pointer.h"
9	#include "sdfg/types/utils.h"
10	#include "sdfg/visitor/structured_sdfg_visitor.h"
11
12	namespace sdfg {
13	namespace passes {
14
15	MemletLinearization::
16	MemletLinearization(builder::StructuredSDFGBuilder& builder, analysis::AnalysisManager& analysis_manager)	4✔
17	: visitor::NonStoppingStructuredSDFGVisitor(builder, analysis_manager) {}	4✔
18
19	bool MemletLinearization::accept(structured_control_flow::Block& block) {	4✔
20	bool applied = false;	4✔
21	auto& dfg = block.dataflow();	4✔
22
23	for (auto& memlet : dfg.edges()) {	8✔
24	if (memlet.subset().empty()) {	4!
NEW 25	continue;	×
26	}
27	auto& base_type = memlet.base_type();	4✔
28	if (base_type.type_id() != types::TypeID::Pointer) {	4!
UNCOV 29	continue;	×
30	}
31	auto& pointer_type = dynamic_cast<const types::Pointer&>(base_type);	4!
32	if (!pointer_type.has_pointee_type()) {	4!
33	continue;	×
34	}
35
36	// Check if pointee type contains arrays
37	auto& pointee_type = pointer_type.pointee_type();	4✔
38	const types::IType* current_type = &pointee_type;	4✔
39	std::vector<symbolic::Expression> array_dimensions = {symbolic::one()};	4!
40
41	// Collect all array dimensions
42	while (current_type->type_id() == types::TypeID::Array) {	11!
43	auto array_type = dynamic_cast<const types::Array*>(current_type);	7!
44	array_dimensions.push_back(array_type->num_elements());	7!
45	current_type = &array_type->element_type();	7!
46	}
47	if (current_type->type_id() != types::TypeID::Scalar) {	4!
NEW 48	continue;	×
49	}
50	if (array_dimensions.size() == 1) {	4✔
51	continue;	1✔
52	}
53
54	auto storage = pointer_type.storage_type();	3!
55	auto alignment = pointer_type.alignment();	3!
56	auto initializer = pointer_type.initializer();	3!
57	types::Pointer new_pointer_type(storage, alignment, initializer, *current_type);	3!
58
59	// Linearize subset
60	auto old_subset = memlet.subset();	3!
61	data_flow::Subset new_subset;	3✔
62
63	symbolic::Expression linearized_index = symbolic::zero();	3!
64
65	for (size_t i = 0; i < old_subset.size(); ++i) {	13✔
66	symbolic::Expression stride = symbolic::one();	10!
67
68	// Calculate stride: product of all dimensions after current dimension
69	for (size_t j = i + 1; j < array_dimensions.size(); ++j) {	22✔
70	stride = symbolic::mul(stride, array_dimensions[j]);	12!
71	}	12✔
72	linearized_index = symbolic::add(linearized_index, symbolic::mul(old_subset[i], stride));	10!
73	}	10✔
74
75	new_subset.push_back(linearized_index);	3!
76	memlet.set_base_type(new_pointer_type);	3!
77	memlet.set_subset(new_subset);	3!
78
79	applied = true;	3✔
80	}	4!
81
82	return applied;	4✔
UNCOV 83	}	×
84
85	} // namespace passes
86	} // namespace sdfg

daisytuner / sdfglib / 20693208423

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