Files
ollama37/discover/cpu_windows.go
Shang Chieh Tseng ef14fb5b26 Sync with upstream ollama/ollama and restore Tesla K80 (compute 3.7) support
This commit represents a complete rework after pulling the latest changes from
official ollama/ollama repository and re-applying Tesla K80 compatibility patches.

## Key Changes

### CUDA Compute Capability 3.7 Support (Tesla K80)
- Added sm_37 (compute 3.7) to CMAKE_CUDA_ARCHITECTURES in CMakeLists.txt
- Updated CMakePresets.json to include compute 3.7 in "CUDA 11" preset
- Using 37-virtual (PTX with JIT compilation) for maximum compatibility

### Legacy Toolchain Compatibility
- **NVIDIA Driver**: 470.256.02 (last version supporting Kepler/K80)
- **CUDA Version**: 11.4.4 (last CUDA 11.x supporting compute 3.7)
- **GCC Version**: 10.5.0 (required by CUDA 11.4 host_config.h)

### CPU Architecture Trade-offs
Due to GCC 10.5 limitation, sacrificed newer CPU optimizations:
- Alderlake CPU variant enabled WITHOUT AVX_VNNI (requires GCC 11+)
- Still supports: SSE4.2, AVX, F16C, AVX2, BMI2, FMA
- Performance impact: ~3-7% on newer CPUs (acceptable for K80 compatibility)

### Build System Updates
- Modified ml/backend/ggml/ggml/src/ggml-cuda/CMakeLists.txt for compute 3.7
- Added -Wno-deprecated-gpu-targets flag to suppress warnings
- Updated ml/backend/ggml/ggml/src/CMakeLists.txt for Alderlake without AVX_VNNI

### Upstream Sync
Merged latest llama.cpp changes including:
- Enhanced KV cache management with ISWA and hybrid memory support
- Improved multi-modal support (mtmd framework)
- New model architectures (Gemma3, Llama4, Qwen3, etc.)
- GPU backend improvements for CUDA, Metal, and ROCm
- Updated quantization support and GGUF format handling

### Documentation
- Updated CLAUDE.md with comprehensive build instructions
- Documented toolchain constraints and CPU architecture trade-offs
- Removed outdated CI/CD workflows (tesla-k80-*.yml)
- Cleaned up temporary development artifacts

## Rationale

This fork maintains Tesla K80 GPU support (compute 3.7) which was dropped in
official Ollama due to legacy driver/CUDA requirements. The toolchain constraint
creates a deadlock:
- K80 → Driver 470 → CUDA 11.4 → GCC 10 → No AVX_VNNI

We accept the loss of cutting-edge CPU optimizations to enable running modern
LLMs on legacy but still capable Tesla K80 hardware (12GB VRAM per GPU).

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-05 14:03:05 +08:00

213 lines
5.9 KiB
Go

package discover
import (
"fmt"
"log/slog"
"syscall"
"unsafe"
)
type MEMORYSTATUSEX struct {
length uint32
MemoryLoad uint32
TotalPhys uint64
AvailPhys uint64
TotalPageFile uint64
AvailPageFile uint64
TotalVirtual uint64
AvailVirtual uint64
AvailExtendedVirtual uint64
}
var (
k32 = syscall.NewLazyDLL("kernel32.dll")
globalMemoryStatusExProc = k32.NewProc("GlobalMemoryStatusEx")
sizeofMemoryStatusEx = uint32(unsafe.Sizeof(MEMORYSTATUSEX{}))
GetLogicalProcessorInformationEx = k32.NewProc("GetLogicalProcessorInformationEx")
)
func GetCPUMem() (memInfo, error) {
memStatus := MEMORYSTATUSEX{length: sizeofMemoryStatusEx}
r1, _, err := globalMemoryStatusExProc.Call(uintptr(unsafe.Pointer(&memStatus)))
if r1 == 0 {
return memInfo{}, fmt.Errorf("GlobalMemoryStatusEx failed: %w", err)
}
return memInfo{TotalMemory: memStatus.TotalPhys, FreeMemory: memStatus.AvailPhys, FreeSwap: memStatus.AvailPageFile}, nil
}
type LOGICAL_PROCESSOR_RELATIONSHIP uint32
const (
RelationProcessorCore LOGICAL_PROCESSOR_RELATIONSHIP = iota
RelationNumaNode
RelationCache
RelationProcessorPackage
RelationGroup
RelationProcessorDie
RelationNumaNodeEx
RelationProcessorModule
)
const RelationAll LOGICAL_PROCESSOR_RELATIONSHIP = 0xffff
type GROUP_AFFINITY struct {
Mask uintptr // KAFFINITY
Group uint16
Reserved [3]uint16
}
type PROCESSOR_RELATIONSHIP struct {
Flags byte
EfficiencyClass byte
Reserved [20]byte
GroupCount uint16
GroupMask [1]GROUP_AFFINITY // len GroupCount
}
// Omitted unused structs: NUMA_NODE_RELATIONSHIP CACHE_RELATIONSHIP GROUP_RELATIONSHIP
type SYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX struct {
Relationship LOGICAL_PROCESSOR_RELATIONSHIP
Size uint32
U [1]byte // Union len Size
// PROCESSOR_RELATIONSHIP
// NUMA_NODE_RELATIONSHIP
// CACHE_RELATIONSHIP
// GROUP_RELATIONSHIP
}
func (group *GROUP_AFFINITY) IsMember(target *GROUP_AFFINITY) bool {
if group == nil || target == nil {
return false
}
return group.Mask&target.Mask != 0
}
type winPackage struct {
groups []*GROUP_AFFINITY
coreCount int // performance cores = coreCount - efficiencyCoreCount
efficiencyCoreCount int
threadCount int
}
func (pkg *winPackage) IsMember(target *GROUP_AFFINITY) bool {
for _, group := range pkg.groups {
if group.IsMember(target) {
return true
}
}
return false
}
func getLogicalProcessorInformationEx() ([]byte, error) {
buf := make([]byte, 1024)
bufSize := len(buf)
var err error
for range 3 {
var ret uintptr
ret, _, err = GetLogicalProcessorInformationEx.Call(
uintptr(RelationAll),
uintptr(unsafe.Pointer(&buf[0])),
uintptr(unsafe.Pointer(&bufSize)),
)
if ret == 1 && bufSize <= len(buf) {
return buf, nil
}
buf = make([]byte, bufSize)
}
return nil, fmt.Errorf("unable to determine CPU details: %w", err)
}
func processSystemLogicalProcessorInforationList(buf []byte) []*winPackage {
var slpi *SYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX
// Find all the packages first
packages := []*winPackage{}
for bufOffset := 0; bufOffset < len(buf); bufOffset += int(slpi.Size) {
slpi = (*SYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX)(unsafe.Pointer(&buf[bufOffset]))
if slpi.Relationship != RelationProcessorPackage {
continue
}
pr := (*PROCESSOR_RELATIONSHIP)(unsafe.Pointer(&slpi.U[0]))
pkg := &winPackage{}
ga0 := unsafe.Pointer(&pr.GroupMask[0])
for j := range pr.GroupCount {
gm := (*GROUP_AFFINITY)(unsafe.Pointer(uintptr(ga0) + uintptr(j)*unsafe.Sizeof(GROUP_AFFINITY{})))
pkg.groups = append(pkg.groups, gm)
}
packages = append(packages, pkg)
}
slog.Info("packages", "count", len(packages))
// To identify efficiency cores we have to compare the relative values
// Larger values are "less efficient" (aka, more performant)
var maxEfficiencyClass byte
for bufOffset := 0; bufOffset < len(buf); bufOffset += int(slpi.Size) {
slpi = (*SYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX)(unsafe.Pointer(&buf[bufOffset]))
if slpi.Relationship != RelationProcessorCore {
continue
}
pr := (*PROCESSOR_RELATIONSHIP)(unsafe.Pointer(&slpi.U[0]))
if pr.EfficiencyClass > maxEfficiencyClass {
maxEfficiencyClass = pr.EfficiencyClass
}
}
if maxEfficiencyClass > 0 {
slog.Info("efficiency cores detected", "maxEfficiencyClass", maxEfficiencyClass)
}
// then match up the Cores to the Packages, count up cores, threads and efficiency cores
for bufOffset := 0; bufOffset < len(buf); bufOffset += int(slpi.Size) {
slpi = (*SYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX)(unsafe.Pointer(&buf[bufOffset]))
if slpi.Relationship != RelationProcessorCore {
continue
}
pr := (*PROCESSOR_RELATIONSHIP)(unsafe.Pointer(&slpi.U[0]))
ga0 := unsafe.Pointer(&pr.GroupMask[0])
for j := range pr.GroupCount {
gm := (*GROUP_AFFINITY)(unsafe.Pointer(uintptr(ga0) + uintptr(j)*unsafe.Sizeof(GROUP_AFFINITY{})))
for _, pkg := range packages {
if pkg.IsMember(gm) {
pkg.coreCount++
if pr.Flags == 0 {
pkg.threadCount++
} else {
pkg.threadCount += 2
}
if pr.EfficiencyClass < maxEfficiencyClass {
pkg.efficiencyCoreCount++
}
}
}
}
}
// Summarize the results
for i, pkg := range packages {
slog.Info("", "package", i, "cores", pkg.coreCount, "efficiency", pkg.efficiencyCoreCount, "threads", pkg.threadCount)
}
return packages
}
func GetCPUDetails() []CPU {
buf, err := getLogicalProcessorInformationEx()
if err != nil {
slog.Warn("failed to get CPU details", "error", err)
return nil
}
packages := processSystemLogicalProcessorInforationList(buf)
cpus := make([]CPU, len(packages))
for i, pkg := range packages {
cpus[i].CoreCount = pkg.coreCount
cpus[i].EfficiencyCoreCount = pkg.efficiencyCoreCount
cpus[i].ThreadCount = pkg.threadCount
}
return cpus
}
func IsNUMA() bool {
// numa support in ggml is linux only
return false
}