1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
|
// =================================================================================================
// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
// width of 100 characters per line.
//
// Author(s):
// Cedric Nugteren <www.cedricnugteren.nl>
//
// This file uses the CLTune auto-tuner to tune the xgemm OpenCL kernels. There are two variations:
// - V==1: This tests some limited set of tuning parameters exhaustively.
// - V==2: This tests a much larger set of tuning parameters by randomly sampling a subset.
//
// =================================================================================================
#include <string>
#include <vector>
#include "utilities/utilities.hpp"
#include "tuning/tuning.hpp"
#define XGEMM_EXEC
bool tStrategyFlag=true;
#define DEFAULT_NUM_OF_STRATEGY 1
namespace clblast {
// =================================================================================================
// See comment at top of file for a description of the class
template <typename T, int V>
class TuneXgemm {
public:
// The representative kernel and the source code
// static std::string KernelFamily() { return (V==1) ? "xgemm_1" : "xgemm_2"; }
static std::string KernelFamily() { switch(V){ case 1: return "xgemm_1"; case 2: case 3:return "xgemm_2"; }}
static std::string KernelName() { return "Xgemm"; }
static std::string GetSources() {
return
#include "../src/kernels/common.opencl"
#include "../src/kernels/level3/xgemm_part1.opencl"
#include "../src/kernels/level3/xgemm_part2.opencl"
#include "../src/kernels/level3/xgemm_part3.opencl"
;
}
// The list of arguments relevant for this routine
static std::vector<std::string> GetOptions() {
return {kArgM, kArgN, kArgK, kArgAlpha, kArgBeta, kArgFraction,tStrategy, psoSwarmSize, psoInfG, psoInfL, psoInfR};
}
// Tests for valid arguments
static void TestValidArguments(const Arguments<T> &) { }
// Sets the default values for the arguments
static size_t DefaultM() { return 1024; }
static size_t DefaultN() { return 1024; }
static size_t DefaultK() { return 1024; }
static size_t DefaultBatchCount() { return 1; } // N/A for this kernel
static double DefaultFraction() { return (V==1) ? 1.0 : 512.0; } // test all or sample randomly
static size_t DefaultNumRuns() { return 2; } // run every kernel this many times for averaging
// Describes how to obtain the sizes of the buffers
static size_t GetSizeX(const Arguments<T> &) { return 1; } // N/A for this kernel
static size_t GetSizeY(const Arguments<T> &) { return 1; } // N/A for this kernel
static size_t GetSizeA(const Arguments<T> &args) { return args.m * args.k; }
static size_t GetSizeB(const Arguments<T> &args) { return args.n * args.k; }
static size_t GetSizeC(const Arguments<T> &args) { return args.m * args.n; }
static size_t GetSizeTemp(const Arguments<T> &) { return 1; } // N/A for this kernel
// Sets the tuning parameters and their possible values
static void SetParameters(cltune::Tuner &tuner, const size_t id) {
if (V==1) { // limited subset of tuning parameters - but explorable exhaustively
tuner.AddParameter(id, "MWG", {16, 32, 64});
tuner.AddParameter(id, "NWG", {16, 32, 64});
tuner.AddParameter(id, "KWG", {32});
tuner.AddParameter(id, "MDIMC", {8, 16, 32});
tuner.AddParameter(id, "NDIMC", {8, 16, 32});
tuner.AddParameter(id, "MDIMA", {8, 16, 32});
tuner.AddParameter(id, "NDIMB", {8, 16, 32});
tuner.AddParameter(id, "KWI", {2});
tuner.AddParameter(id, "VWM", {1, 2, 4});
tuner.AddParameter(id, "VWN", {1, 2, 4});
tuner.AddParameter(id, "STRM", {0});
tuner.AddParameter(id, "STRN", {0});
tuner.AddParameter(id, "SA", {0, 1});
tuner.AddParameter(id, "SB", {0, 1});
} // a lot more tuning parameters - has to be sampled randomly, too much to test all
else {
//RANDOM_SEARCH & PSO
tuner.AddParameter(id, "MWG", {16, 32, 64, 128});
tuner.AddParameter(id, "NWG", {16, 32, 64, 128});
tuner.AddParameter(id, "KWG", {16, 32});
tuner.AddParameter(id, "MDIMC", {8, 16, 32});
tuner.AddParameter(id, "NDIMC", {8, 16, 32});
tuner.AddParameter(id, "MDIMA", {8, 16, 32});
tuner.AddParameter(id, "NDIMB", {8, 16, 32});
tuner.AddParameter(id, "KWI", {2});
tuner.AddParameter(id, "VWM", {1, 2, 4, 8});
tuner.AddParameter(id, "VWN", {1, 2, 4, 8});
tuner.AddParameter(id, "STRM", {0, 1});
tuner.AddParameter(id, "STRN", {0, 1});
tuner.AddParameter(id, "SA", {0, 1});
tuner.AddParameter(id, "SB", {0, 1});
}
}
// Sets the constraints
static void SetConstraints(cltune::Tuner &tuner, const size_t id) {
auto MultipleOfX = [] (std::vector<size_t> v) { return IsMultiple(v[0], v[1]); };
auto MultipleOfXMulY = [] (std::vector<size_t> v) { return IsMultiple(v[0], v[1]*v[2]); };
auto MultipleOfXMulYDivZ = [] (std::vector<size_t> v) { return IsMultiple(v[0], (v[1]*v[2])/v[3]); };
// Requirement for unrolling the KWG loop
tuner.AddConstraint(id, MultipleOfX, {"KWG", "KWI"});
// Required for integer MWI and NWI
tuner.AddConstraint(id, MultipleOfXMulY, {"MWG", "MDIMC", "VWM"});
tuner.AddConstraint(id, MultipleOfXMulY, {"NWG", "NDIMC", "VWN"});
// Required for integer MWIA and NWIB
tuner.AddConstraint(id, MultipleOfXMulY, {"MWG", "MDIMA", "VWM"});
tuner.AddConstraint(id, MultipleOfXMulY, {"NWG", "NDIMB", "VWN"});
// KWG has to be a multiple of KDIMA = ((MDIMC*NDIMC)/(MDIMA)) and KDIMB = (...)
tuner.AddConstraint(id, MultipleOfXMulYDivZ, {"KWG", "MDIMC", "NDIMC", "MDIMA"});
tuner.AddConstraint(id, MultipleOfXMulYDivZ, {"KWG", "MDIMC", "NDIMC", "NDIMB"});
// Extra constraints for variation 1 to limit the set of options significantly
if (V==1) {
auto IsEqual = [] (std::vector<size_t> v) { return v[0] == v[1]; };
tuner.AddConstraint(id, IsEqual, {"MDIMC", "MDIMA"});
tuner.AddConstraint(id, IsEqual, {"NDIMC", "NDIMB"});
tuner.AddConstraint(id, IsEqual, {"SA", "SB"});
}
}
// Sets the local memory size
static void SetLocalMemorySize(cltune::Tuner &tuner, const size_t id, const Arguments<T> &args) {
auto LocalMemorySize = [args] (std::vector<size_t> v) {
return (((v[0]*v[1]*v[2]) + (v[3]*v[4]*v[5]))*GetBytes(args.precision));
};
tuner.SetLocalMemoryUsage(id, LocalMemorySize, {"SA", "KWG", "MWG",
"SB", "KWG", "NWG"});
}
// Sets the base thread configuration
static std::vector<size_t> GlobalSize(const Arguments<T> &args) { return {args.m, args.n}; }
static std::vector<size_t> GlobalSizeRef(const Arguments<T> &args) { return GlobalSize(args); }
static std::vector<size_t> LocalSize() { return {1, 1}; }
static std::vector<size_t> LocalSizeRef() { return {8, 8}; }
// Transforms the thread configuration based on the parameters
using TransformVector = std::vector<std::vector<std::string>>;
static TransformVector MulLocal() { return {{"MDIMC", "NDIMC"}}; }
static TransformVector DivLocal() { return {}; }
static TransformVector MulGlobal() { return {{"MDIMC", "NDIMC"}}; }
static TransformVector DivGlobal() { return {{"MWG", "NWG"}}; }
// Sets the kernel's arguments
static void SetArguments(cltune::Tuner &tuner, const Arguments<T> &args,
std::vector<T> &, std::vector<T> &,
std::vector<T> &a_mat, std::vector<T> &b_mat, std::vector<T> &c_mat,
std::vector<T> &) {
tuner.AddArgumentScalar(static_cast<int>(args.m));
tuner.AddArgumentScalar(static_cast<int>(args.n));
tuner.AddArgumentScalar(static_cast<int>(args.k));
tuner.AddArgumentScalar(GetRealArg(args.alpha));
tuner.AddArgumentScalar(GetRealArg(args.beta));
tuner.AddArgumentInput(a_mat);
tuner.AddArgumentInput(b_mat);
tuner.AddArgumentOutput(c_mat);
}
// Describes how to compute the performance metrics
static size_t GetMetric(const Arguments<T> &args) {
return 2 * args.m * args.n * args.k;
}
static std::string PerformanceUnit() { return "GFLOPS"; }
};
// =================================================================================================
} // namespace clblast
// Shortcuts to the clblast namespace
using half = clblast::half;
using float2 = clblast::float2;
using double2 = clblast::double2;
// Function to tune a specific variation V (not within the clblast namespace)
template <int V>
void StartVariation(int argc, char *argv[]) {
const auto command_line_args = clblast::RetrieveCommandLineArguments(argc, argv);
switch(clblast::GetPrecision(command_line_args)) {
case clblast::Precision::kHalf: clblast::Tuner<clblast::TuneXgemm<half,V>, half>(argc, argv); break;
case clblast::Precision::kSingle: clblast::Tuner<clblast::TuneXgemm<float,V>, float>(argc, argv); break;
case clblast::Precision::kDouble: clblast::Tuner<clblast::TuneXgemm<double,V>, double>(argc, argv); break;
case clblast::Precision::kComplexSingle: clblast::Tuner<clblast::TuneXgemm<float2,V>, float2>(argc, argv); break;
case clblast::Precision::kComplexDouble: clblast::Tuner<clblast::TuneXgemm<double2,V>, double2>(argc, argv); break;
}
}
// Main function (not within the clblast namespace)
int main(int argc, char *argv[]) {
int num_of_strategies = DEFAULT_NUM_OF_STRATEGY;
if(const char* env_p = std::getenv("CK_TUNER_NUM_OF_STRATEGIES"))
{
num_of_strategies = atoi(env_p);
printf("CK_TUNER_NUM_OF_STRATEGIES is: %s\n", env_p );
}
else
{
printf("CK_TUNER_NUM_OF_STRATEGIES is not defined\n");
}
printf("num_of_strategies : %d\n",num_of_strategies );
if( DEFAULT_NUM_OF_STRATEGY != num_of_strategies )
{
//FACCIO PRIMA LA FULL SEARCH
StartVariation<1>(argc, argv);
}
auto command_line_args = clblast::RetrieveCommandLineArguments(argc, argv);
auto help = std::string{"* Options given/available:\n"};
auto localtStrategy = clblast::GetArgument(command_line_args, help, clblast::tStrategy, DEFAULT_STRATEGY);
switch(localtStrategy)
{
case FULL_SEARCH_STRATEGY:
StartVariation<1>(argc, argv);
break;
case RANDOM_SEARCH_STRATEGY:
StartVariation<2>(argc, argv);
break;
case PSO_STRATEGY:
StartVariation<3>(argc, argv);
break;
case DVDT_STRATEGY:
StartVariation<2>(argc, argv);
break;
}
return 0;
}
// =================================================================================================
|
