Changed CPU threads format.

This commit is contained in:
XMRig 2019-08-07 21:47:42 +07:00
parent fd9039928b
commit 97192f224d
6 changed files with 68 additions and 52 deletions

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@ -1,5 +1,7 @@
# CPU backend
**Information in this document actual to version 2.99.5+**
All CPU related settings contains in one `cpu` object in config file, CPU backend allow specify multiple profiles and allow switch between them without restrictions by pool request or config change. Default auto-configuration create reasonable minimum of profiles which cover all supported algorithms.
### Example
@ -9,7 +11,7 @@ Example below demonstrate all primary ideas of flexible profiles configuration:
* `"rx/wow"` Exact match to algorithm `rx/wow`, defined 4 threads without CPU affinity.
* `"cn"` Default failback profile for all `cn/*` algorithms, defined 2 threads with CPU affinity, another failback profiles is `cn-lite`, `cn-heavy` and `rx`.
* `"cn-lite"` Default failback profile for all `cn-lite/*` algorithms, defined 2 double threads with CPU affinity.
* `"cn-pico"` Alternative short object format, since 2.99.5.
* `"cn-pico"` Alternative short object format.
* `"custom-profile"` Custom user defined profile.
* `"*"` Failback profile for all unhandled by other profiles algorithms.
* `"cn/r"` Exact match, alias to profile `custom-profile`.
@ -24,16 +26,13 @@ Example below demonstrate all primary ideas of flexible profiles configuration:
"priority": null,
"asm": true,
"rx/wow": [-1, -1, -1, -1],
"cn": [0, 2],
"cn": [
[1, 0],
[1, 2]
],
"cn-lite": [
{
"intensity": 2,
"affinity": 0
},
{
"intensity": 2,
"affinity": 2
}
[2, 0],
[2, 2]
],
"cn-pico": {
"intensity": 2,
@ -48,8 +47,35 @@ Example below demonstrate all primary ideas of flexible profiles configuration:
}
```
### Intensity
This option was known as `low_power_mode`, possible values is range from 1 to 5, for convinient if value 1 used, possible omit this option and specify CPU thread config by only one number: CPU affinity, instead of object.
## Threads definition
Threads can be defined in 3 formats.
#### Array format
```json
[
[1, 0],
[1, 2],
[1, -1],
[2, -1]
]
```
Each line represent one thread, first element is intensity, this option was known as `low_power_mode`, possible values is range from 1 to 5, second element is CPU affinity, special value `-1` means no affinity.
#### Short array format
```json
[-1, -1, -1, -1]
```
Each number represent one thread and means CPU affinity, this is default format for algorithm with maximum intensity 1, currently it all RandomX variants and cryptonight-gpu.
#### Short object format
```json
{
"intensity": 2,
"threads": 8,
"affinity": -1
}
```
Internal format, but can be user defined.
## Shared options

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@ -148,30 +148,31 @@ void xmrig::CpuConfig::read(const rapidjson::Value &value)
void xmrig::CpuConfig::generate()
{
m_shouldSave = true;
ICpuInfo *cpu = Cpu::info();
m_threads.disable(Algorithm::CN_0);
m_threads.move(kCn, Cpu::info()->threads(Algorithm::CN_0));
m_threads.move(kCn, cpu->threads(Algorithm::CN_0));
# ifdef XMRIG_ALGO_CN_GPU
m_threads.move(kCnGPU, Cpu::info()->threads(Algorithm::CN_GPU));
m_threads.move(kCnGPU, cpu->threads(Algorithm::CN_GPU));
# endif
# ifdef XMRIG_ALGO_CN_LITE
m_threads.disable(Algorithm::CN_LITE_0);
m_threads.move(kCnLite, Cpu::info()->threads(Algorithm::CN_LITE_1));
m_threads.move(kCnLite, cpu->threads(Algorithm::CN_LITE_1));
# endif
# ifdef XMRIG_ALGO_CN_HEAVY
m_threads.move(kCnHeavy, Cpu::info()->threads(Algorithm::CN_HEAVY_0));
m_threads.move(kCnHeavy, cpu->threads(Algorithm::CN_HEAVY_0));
# endif
# ifdef XMRIG_ALGO_CN_PICO
m_threads.move(kCnPico, Cpu::info()->threads(Algorithm::CN_PICO_0));
m_threads.move(kCnPico, cpu->threads(Algorithm::CN_PICO_0));
# endif
# ifdef XMRIG_ALGO_RANDOMX
m_threads.move(kRx, Cpu::info()->threads(Algorithm::RX_0));
m_threads.move(kRxWOW, Cpu::info()->threads(Algorithm::RX_WOW));
m_threads.move(kRx, cpu->threads(Algorithm::RX_0));
m_threads.move(kRxWOW, cpu->threads(Algorithm::RX_WOW));
# endif
}

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@ -28,25 +28,14 @@
#include "rapidjson/document.h"
namespace xmrig {
static const char *kAffinity = "affinity";
static const char *kIntensity = "intensity";
}
xmrig::CpuThread::CpuThread(const rapidjson::Value &value)
{
if (value.IsObject()) {
m_intensity = Json::getInt(value, kIntensity, -1);
m_affinity = Json::getInt(value, kAffinity, -1);
if (value.IsArray() && value.Size() >= 2) {
m_intensity = value[0].GetInt();
m_affinity = value[1].GetInt();
}
else if (value.IsInt()) {
m_intensity = 1;
m_intensity = -1;
m_affinity = value.GetInt();
}
}
@ -55,17 +44,15 @@ xmrig::CpuThread::CpuThread(const rapidjson::Value &value)
rapidjson::Value xmrig::CpuThread::toJSON(rapidjson::Document &doc) const
{
using namespace rapidjson;
if (intensity() > 1) {
auto &allocator = doc.GetAllocator();
Value obj(kObjectType);
obj.AddMember(StringRef(kIntensity), m_intensity, allocator);
obj.AddMember(StringRef(kAffinity), m_affinity, allocator);
return obj;
}
if (m_intensity == -1) {
return Value(m_affinity);
}
auto &allocator = doc.GetAllocator();
Value out(kArrayType);
out.PushBack(m_intensity, allocator);
out.PushBack(m_affinity, allocator);
return out;
}

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@ -35,13 +35,14 @@ namespace xmrig {
class CpuThread
{
public:
inline constexpr CpuThread(int intensity = 1, int64_t affinity = -1) : m_intensity(intensity), m_affinity(affinity) {}
inline constexpr CpuThread() {}
inline constexpr CpuThread(int64_t affinity, int intensity) : m_intensity(intensity), m_affinity(affinity) {}
CpuThread(const rapidjson::Value &value);
inline bool isEqual(const CpuThread &other) const { return other.m_affinity == m_affinity && other.m_intensity == m_intensity; }
inline bool isValid() const { return m_intensity >= 1 && m_intensity <= 5; }
inline int intensity() const { return m_intensity; }
inline bool isValid() const { return m_intensity == -1 || (m_intensity >= 1 && m_intensity <= 5); }
inline int intensity() const { return m_intensity == -1 ? 1 : m_intensity; }
inline int64_t affinity() const { return m_affinity; }
inline bool operator!=(const CpuThread &other) const { return !isEqual(other); }

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@ -47,7 +47,7 @@ public:
inline const std::vector<CpuThread> &data() const { return m_data; }
inline size_t count() const { return m_data.size(); }
inline void add(CpuThread &&thread) { m_data.push_back(thread); }
inline void add(int64_t affinity, int intensity = 1) { add(CpuThread(intensity, affinity)); }
inline void add(int64_t affinity, int intensity) { add(CpuThread(affinity, intensity)); }
inline void reserve(size_t capacity) { m_data.reserve(capacity); }
rapidjson::Value toJSON(rapidjson::Document &doc) const;

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@ -250,6 +250,7 @@ void xmrig::HwlocCpuInfo::processTopLevelCache(hwloc_obj_t cache, const Algorith
int L2_associativity = 0;
size_t extra = 0;
const size_t scratchpad = algorithm.memory();
int intensity = algorithm.maxIntensity() == 1 ? -1 : 1;
if (cache->attr->cache.depth == 3 && isCacheExclusive(cache)) {
for (size_t i = 0; i < cache->arity; ++i) {
@ -286,7 +287,7 @@ void xmrig::HwlocCpuInfo::processTopLevelCache(hwloc_obj_t cache, const Algorith
for (hwloc_obj_t core : cores) {
const std::vector<hwloc_obj_t> units = findByType(core, HWLOC_OBJ_PU);
for (hwloc_obj_t pu : units) {
threads.add(pu->os_index);
threads.add(pu->os_index, intensity);
}
}
@ -307,7 +308,7 @@ void xmrig::HwlocCpuInfo::processTopLevelCache(hwloc_obj_t cache, const Algorith
PUs--;
allocated_pu = true;
threads.add(units[pu_id]->os_index);
threads.add(units[pu_id]->os_index, intensity);
if (cacheHashes == 0) {
break;