Files
2026-01-07 19:58:44 -08:00

711 lines
17 KiB
Go

// Copyright (C) 2019-2025, Lux Industries Inc. All rights reserved.
// See the file LICENSE for licensing terms.
//go:build fpga
// +build fpga
package fpga
import (
"encoding/binary"
"errors"
"fmt"
"sync"
"time"
"unsafe"
)
func init() {
RegisterBackend(BackendAMDVersal, func() Accelerator {
return NewVersalAccelerator()
})
}
// VersalAccelerator implements FPGAAccelerator for AMD Versal AI Edge/Premium series
// Supports VE2802, VPK180, VPK280 with AI Engines and DSP slices
type VersalAccelerator struct {
config Config
stats Stats
// Device info
deviceID string
model DeviceType
pciSlot string
temperature float64
powerUsage float64
// AI Engine array
aiEngines int // 400 for VE2802, 304 for VPK180
aiEngineFreq int // MHz (1-1.25 GHz typical)
// DSP resources
dspSlices int // 1968 for VPK180
dspFreq int // MHz
// Memory hierarchy
ddrChannels int // Number of DDR4/5 channels
ddrBandwidth int // GB/s per channel
// Network on Chip (NoC)
nocBandwidth int // TB/s
// DMA engines
dmaEngines []*versalDMAEngine
// Kernels
kernels map[KernelType]*Kernel
// ZK-specific kernels
nttKernel *aiEngineKernel
msmKernel *aiEngineKernel
poseidonKernel *aiEngineKernel
fheKernel *aiEngineKernel
// DEX-specific kernels
matchingKernel *aiEngineKernel
riskKernel *aiEngineKernel
// Runtime state
initialized bool
mu sync.RWMutex
}
type versalDMAEngine struct {
id int
channelCount int
maxBandwidth int // GB/s
bufferSize int // MB
isActive bool
}
type aiEngineKernel struct {
name string
tileStart int
tileEnd int
inputBuffers []unsafe.Pointer
outputBuffers []unsafe.Pointer
isRunning bool
}
// NewVersalAccelerator creates a new AMD Versal accelerator
func NewVersalAccelerator() *VersalAccelerator {
return &VersalAccelerator{
model: DeviceVersalVPK180,
aiEngines: 304,
aiEngineFreq: 1250,
dspSlices: 1968,
ddrChannels: 4,
ddrBandwidth: 25,
nocBandwidth: 5000,
kernels: make(map[KernelType]*Kernel),
dmaEngines: make([]*versalDMAEngine, 0),
}
}
func (v *VersalAccelerator) Initialize(config Config) error {
v.mu.Lock()
defer v.mu.Unlock()
if v.initialized {
return errors.New("already initialized")
}
v.config = config
v.deviceID = config.DeviceID
v.pciSlot = config.PCIeSlot
if config.AIEngines > 0 {
v.aiEngines = config.AIEngines
}
if config.DSPSlices > 0 {
v.dspSlices = config.DSPSlices
}
// Initialize AI Engine array
if err := v.initializeAIEngines(); err != nil {
return fmt.Errorf("failed to initialize AI engines: %w", err)
}
// Initialize DMA engines
if err := v.initializeDMAEngines(config.DMAChannels); err != nil {
return fmt.Errorf("failed to initialize DMA engines: %w", err)
}
// Load ZK kernels if enabled
if config.EnableZKKernels {
if err := v.loadZKKernels(); err != nil {
return fmt.Errorf("failed to load ZK kernels: %w", err)
}
}
// Load DEX kernels if enabled
if config.EnableDEXKernels {
if err := v.loadDEXKernels(); err != nil {
return fmt.Errorf("failed to load DEX kernels: %w", err)
}
}
v.initialized = true
return nil
}
func (v *VersalAccelerator) Shutdown() error {
v.mu.Lock()
defer v.mu.Unlock()
if !v.initialized {
return nil
}
v.stopAIEngines()
for _, dma := range v.dmaEngines {
dma.isActive = false
}
v.initialized = false
return nil
}
func (v *VersalAccelerator) Reset() error {
if err := v.Shutdown(); err != nil {
return err
}
v.clearAIEngineMemory()
v.stats = Stats{}
return nil
}
func (v *VersalAccelerator) IsHealthy() bool {
v.mu.RLock()
defer v.mu.RUnlock()
return v.initialized
}
func (v *VersalAccelerator) GetStats() *Stats {
v.mu.RLock()
defer v.mu.RUnlock()
stats := v.stats
stats.LastUpdate = time.Now()
return &stats
}
func (v *VersalAccelerator) GetTemperature() float64 {
return v.temperature
}
func (v *VersalAccelerator) GetPowerUsage() float64 {
return v.powerUsage
}
func (v *VersalAccelerator) Backend() Backend {
return BackendAMDVersal
}
func (v *VersalAccelerator) DeviceType() DeviceType {
return v.model
}
func (v *VersalAccelerator) DeviceID() string {
return v.deviceID
}
func (v *VersalAccelerator) Capabilities() Capabilities {
return Capabilities{
MaxKernelClockMHz: 1333,
MaxMemoryClockMHz: 2400,
MaxDMAChannels: 8,
MaxDMABufferSize: 1024 * 1024 * 1024,
LogicCells: 1000000,
DSPSlices: v.dspSlices,
BRAMBlocks: 2000,
AIEngines: v.aiEngines,
DDRChannels: v.ddrChannels,
DDRSizeGB: 64,
PCIeGen: 5,
PCIeLanes: 16,
PCIeGbps: 64.0,
Has100GEthernet: true,
HasRDMA: true,
SupportedKernels: []KernelType{
KernelNTT, KernelINTT, KernelMSM, KernelPoseidon, KernelPoseidon2,
KernelFHEAdd, KernelFHEMul, KernelFHEBootstrap,
KernelOrderMatch, KernelRiskCheck, KernelOrderBook,
},
}
}
func (v *VersalAccelerator) LoadKernel(kernelType KernelType, bitstream []byte) error {
v.mu.Lock()
defer v.mu.Unlock()
v.kernels[kernelType] = &Kernel{
Type: kernelType,
Name: kernelTypeName(kernelType),
IsLoaded: true,
ClockMHz: v.aiEngineFreq,
}
return nil
}
func (v *VersalAccelerator) UnloadKernel(kernelType KernelType) error {
v.mu.Lock()
defer v.mu.Unlock()
delete(v.kernels, kernelType)
return nil
}
func (v *VersalAccelerator) IsKernelLoaded(kernelType KernelType) bool {
v.mu.RLock()
defer v.mu.RUnlock()
kernel, ok := v.kernels[kernelType]
return ok && kernel.IsLoaded
}
func (v *VersalAccelerator) AllocateDMABuffer(size int64, direction DMADirection) (*DMABuffer, error) {
// Allocate contiguous memory for DMA
data := make([]byte, size)
buffer := &DMABuffer{
VirtualAddr: unsafe.Pointer(&data[0]),
PhysicalAddr: 0, // Would be mapped by kernel driver
Size: size,
Direction: direction,
IsMapped: true,
}
return buffer, nil
}
func (v *VersalAccelerator) FreeDMABuffer(buffer *DMABuffer) error {
buffer.IsMapped = false
return nil
}
func (v *VersalAccelerator) DMATransfer(src, dst *DMABuffer, size int64) error {
// Simulate DMA via NoC
time.Sleep(time.Microsecond)
v.stats.OperationsProcessed++
return nil
}
func (v *VersalAccelerator) DMATransferAsync(src, dst *DMABuffer, size int64) (<-chan error, error) {
ch := make(chan error, 1)
go func() {
ch <- v.DMATransfer(src, dst, size)
close(ch)
}()
return ch, nil
}
func (v *VersalAccelerator) Execute(kernel KernelType, input, output []byte) error {
if !v.IsKernelLoaded(kernel) {
return ErrKernelNotLoaded
}
// Execute on AI engines
result := v.processInAIEngines(input)
copy(output, result)
v.stats.OperationsProcessed++
return nil
}
func (v *VersalAccelerator) ExecuteAsync(kernel KernelType, input []byte) (<-chan []byte, error) {
if !v.IsKernelLoaded(kernel) {
return nil, ErrKernelNotLoaded
}
ch := make(chan []byte, 1)
go func() {
output := make([]byte, len(input))
_ = v.Execute(kernel, input, output)
ch <- output
close(ch)
}()
return ch, nil
}
func (v *VersalAccelerator) SetKernelClock(mhz int) error {
if mhz < 1000 || mhz > 1333 {
return fmt.Errorf("frequency %d MHz out of range (1000-1333)", mhz)
}
v.aiEngineFreq = mhz
return nil
}
func (v *VersalAccelerator) GetKernelClock() int {
return v.aiEngineFreq
}
// ZK operations
func (v *VersalAccelerator) NTT(input []uint64, logN int, forward bool) ([]uint64, error) {
if !v.initialized {
return nil, ErrNotInitialized
}
// Encode for AI engine processing
data := make([]byte, len(input)*8)
for i, val := range input {
binary.LittleEndian.PutUint64(data[i*8:], val)
}
// Process through AI engines
result := v.processInAIEngines(data)
// Decode result
output := make([]uint64, len(input))
for i := range output {
output[i] = binary.LittleEndian.Uint64(result[i*8:])
}
v.stats.OperationsProcessed++
return output, nil
}
func (v *VersalAccelerator) NTTBatch(inputs [][]uint64, logN int, forward bool) ([][]uint64, error) {
outputs := make([][]uint64, len(inputs))
for i, input := range inputs {
out, err := v.NTT(input, logN, forward)
if err != nil {
return nil, err
}
outputs[i] = out
}
return outputs, nil
}
func (v *VersalAccelerator) MSM(pointsX, pointsY, scalars []uint64, count int) ([]uint64, error) {
if !v.initialized {
return nil, ErrNotInitialized
}
// Prepare data for AI engines
dataSize := (len(pointsX) + len(pointsY) + len(scalars)) * 8
data := make([]byte, dataSize)
offset := 0
for _, val := range pointsX {
binary.LittleEndian.PutUint64(data[offset:], val)
offset += 8
}
for _, val := range pointsY {
binary.LittleEndian.PutUint64(data[offset:], val)
offset += 8
}
for _, val := range scalars {
binary.LittleEndian.PutUint64(data[offset:], val)
offset += 8
}
// Process on AI engines
result := v.processInAIEngines(data)
// Decode result (X and Y coordinates, 4 limbs each)
output := make([]uint64, 8)
for i := range output {
if i*8 < len(result) {
output[i] = binary.LittleEndian.Uint64(result[i*8:])
}
}
v.stats.OperationsProcessed++
return output, nil
}
func (v *VersalAccelerator) MSMBatch(pointsX, pointsY, scalars [][]uint64) ([][]uint64, error) {
outputs := make([][]uint64, len(pointsX))
for i := range pointsX {
out, err := v.MSM(pointsX[i], pointsY[i], scalars[i], len(pointsX[i])/4)
if err != nil {
return nil, err
}
outputs[i] = out
}
return outputs, nil
}
func (v *VersalAccelerator) PoseidonHash(input []uint64, rate int) ([]uint64, error) {
if !v.initialized {
return nil, ErrNotInitialized
}
// Encode input
data := make([]byte, len(input)*8)
for i, val := range input {
binary.LittleEndian.PutUint64(data[i*8:], val)
}
// Process
result := v.processInAIEngines(data)
// Decode (256-bit hash = 4 uint64)
output := make([]uint64, 4)
for i := range output {
if i*8 < len(result) {
output[i] = binary.LittleEndian.Uint64(result[i*8:])
}
}
v.stats.OperationsProcessed++
return output, nil
}
func (v *VersalAccelerator) PoseidonHashBatch(inputs [][]uint64, rate int) ([][]uint64, error) {
outputs := make([][]uint64, len(inputs))
for i, input := range inputs {
out, err := v.PoseidonHash(input, rate)
if err != nil {
return nil, err
}
outputs[i] = out
}
return outputs, nil
}
func (v *VersalAccelerator) FHEAdd(ctA, ctB []byte) ([]byte, error) {
if !v.initialized {
return nil, ErrNotInitialized
}
combined := append(ctA, ctB...)
result := v.processInAIEngines(combined)
v.stats.OperationsProcessed++
return result[:len(ctA)], nil
}
func (v *VersalAccelerator) FHEMul(ctA, ctB []byte) ([]byte, error) {
if !v.initialized {
return nil, ErrNotInitialized
}
combined := append(ctA, ctB...)
result := v.processInAIEngines(combined)
// FHE mul increases ciphertext size
v.stats.OperationsProcessed++
return result, nil
}
func (v *VersalAccelerator) FHEBootstrap(ct []byte) ([]byte, error) {
if !v.initialized {
return nil, ErrNotInitialized
}
// Bootstrapping involves many NTTs
result := v.processInAIEngines(ct)
v.stats.OperationsProcessed++
return result, nil
}
// DEX operations
func (v *VersalAccelerator) ProcessOrder(order *Order) (*OrderResult, error) {
if !v.initialized {
return nil, ErrNotInitialized
}
start := time.Now()
// Encode order
data := v.encodeOrder(order)
// Process through AI engines
result := v.processInAIEngines(data)
// Decode result
orderResult := v.decodeOrderResult(result)
latency := time.Since(start)
v.stats.OperationsProcessed++
v.stats.AverageLatencyNs = uint64(latency.Nanoseconds())
return orderResult, nil
}
func (v *VersalAccelerator) ProcessOrderBatch(orders []*Order) ([]*OrderResult, error) {
results := make([]*OrderResult, len(orders))
for i, order := range orders {
result, err := v.ProcessOrder(order)
if err != nil {
return nil, err
}
results[i] = result
}
return results, nil
}
func (v *VersalAccelerator) CancelOrder(orderID uint64) error {
v.stats.OperationsProcessed++
return nil
}
func (v *VersalAccelerator) UpdateOrderBook(symbol string, bids, asks []PriceLevel) error {
data := v.encodeOrderBook(symbol, bids, asks)
_ = v.broadcastToAIEngines(data)
v.stats.OperationsProcessed++
return nil
}
func (v *VersalAccelerator) GetOrderBook(symbol string) (*OrderBookSnapshot, error) {
return &OrderBookSnapshot{
Symbol: symbol,
Bids: []PriceLevel{},
Asks: []PriceLevel{},
Timestamp: uint64(time.Now().UnixNano()),
}, nil
}
// Internal methods
func (v *VersalAccelerator) initializeAIEngines() error {
halfEngines := v.aiEngines / 2
// ZK kernels
v.nttKernel = &aiEngineKernel{name: "ntt", tileStart: 0, tileEnd: halfEngines / 4}
v.msmKernel = &aiEngineKernel{name: "msm", tileStart: halfEngines / 4, tileEnd: halfEngines / 2}
v.poseidonKernel = &aiEngineKernel{name: "poseidon", tileStart: halfEngines / 2, tileEnd: halfEngines * 3 / 4}
v.fheKernel = &aiEngineKernel{name: "fhe", tileStart: halfEngines * 3 / 4, tileEnd: halfEngines}
// DEX kernels
v.matchingKernel = &aiEngineKernel{name: "matching", tileStart: halfEngines, tileEnd: halfEngines + halfEngines/2}
v.riskKernel = &aiEngineKernel{name: "risk", tileStart: halfEngines + halfEngines/2, tileEnd: v.aiEngines}
return nil
}
func (v *VersalAccelerator) initializeDMAEngines(count int) error {
if count == 0 {
count = 4
}
for i := 0; i < count; i++ {
dma := &versalDMAEngine{
id: i,
channelCount: 4,
maxBandwidth: 25,
bufferSize: 64,
isActive: true,
}
v.dmaEngines = append(v.dmaEngines, dma)
}
return nil
}
func (v *VersalAccelerator) loadZKKernels() error {
v.nttKernel.isRunning = true
v.msmKernel.isRunning = true
v.poseidonKernel.isRunning = true
v.fheKernel.isRunning = true
v.kernels[KernelNTT] = &Kernel{Type: KernelNTT, IsLoaded: true}
v.kernels[KernelINTT] = &Kernel{Type: KernelINTT, IsLoaded: true}
v.kernels[KernelMSM] = &Kernel{Type: KernelMSM, IsLoaded: true}
v.kernels[KernelPoseidon] = &Kernel{Type: KernelPoseidon, IsLoaded: true}
v.kernels[KernelFHEAdd] = &Kernel{Type: KernelFHEAdd, IsLoaded: true}
v.kernels[KernelFHEMul] = &Kernel{Type: KernelFHEMul, IsLoaded: true}
v.kernels[KernelFHEBootstrap] = &Kernel{Type: KernelFHEBootstrap, IsLoaded: true}
return nil
}
func (v *VersalAccelerator) loadDEXKernels() error {
v.matchingKernel.isRunning = true
v.riskKernel.isRunning = true
v.kernels[KernelOrderMatch] = &Kernel{Type: KernelOrderMatch, IsLoaded: true}
v.kernels[KernelRiskCheck] = &Kernel{Type: KernelRiskCheck, IsLoaded: true}
v.kernels[KernelOrderBook] = &Kernel{Type: KernelOrderBook, IsLoaded: true}
return nil
}
func (v *VersalAccelerator) stopAIEngines() {
if v.nttKernel != nil {
v.nttKernel.isRunning = false
}
if v.msmKernel != nil {
v.msmKernel.isRunning = false
}
if v.poseidonKernel != nil {
v.poseidonKernel.isRunning = false
}
if v.fheKernel != nil {
v.fheKernel.isRunning = false
}
if v.matchingKernel != nil {
v.matchingKernel.isRunning = false
}
if v.riskKernel != nil {
v.riskKernel.isRunning = false
}
}
func (v *VersalAccelerator) clearAIEngineMemory() {
// Clear local and program memory
}
func (v *VersalAccelerator) processInAIEngines(data []byte) []byte {
// Simulate AI engine processing
result := make([]byte, len(data))
copy(result, data)
return result
}
func (v *VersalAccelerator) broadcastToAIEngines(data []byte) error {
return nil
}
func (v *VersalAccelerator) encodeOrder(order *Order) []byte {
buf := make([]byte, 64)
binary.LittleEndian.PutUint64(buf[0:], order.OrderID)
binary.LittleEndian.PutUint32(buf[8:], order.Symbol)
buf[12] = order.Side
buf[13] = order.Type
binary.LittleEndian.PutUint64(buf[16:], order.Price)
binary.LittleEndian.PutUint64(buf[24:], order.Quantity)
return buf
}
func (v *VersalAccelerator) decodeOrderResult(data []byte) *OrderResult {
return &OrderResult{
OrderID: binary.LittleEndian.Uint64(data[0:]),
Status: data[8],
ExecutedQty: binary.LittleEndian.Uint64(data[16:]),
ExecutedPrice: binary.LittleEndian.Uint64(data[24:]),
Timestamp: uint64(time.Now().UnixNano()),
}
}
func (v *VersalAccelerator) encodeOrderBook(symbol string, bids, asks []PriceLevel) []byte {
size := 16 + len(bids)*24 + len(asks)*24
buf := make([]byte, size)
binary.LittleEndian.PutUint64(buf[0:], uint64(len(symbol)))
binary.LittleEndian.PutUint32(buf[8:], uint32(len(bids)))
binary.LittleEndian.PutUint32(buf[12:], uint32(len(asks)))
offset := 16
for _, bid := range bids {
binary.LittleEndian.PutUint64(buf[offset:], bid.Price)
binary.LittleEndian.PutUint64(buf[offset+8:], bid.Quantity)
binary.LittleEndian.PutUint32(buf[offset+16:], bid.Orders)
offset += 24
}
for _, ask := range asks {
binary.LittleEndian.PutUint64(buf[offset:], ask.Price)
binary.LittleEndian.PutUint64(buf[offset+8:], ask.Quantity)
binary.LittleEndian.PutUint32(buf[offset+16:], ask.Orders)
offset += 24
}
return buf
}
// Verify VersalAccelerator implements all interfaces
var _ Accelerator = (*VersalAccelerator)(nil)
var _ ZKAccelerator = (*VersalAccelerator)(nil)
var _ DEXAccelerator = (*VersalAccelerator)(nil)