dex/cmd/mlx-memory-analysis/main.go

package main

import (
	"fmt"
)

// MLX Order structure optimized for GPU
type MLXOrder struct {
	ID    uint32  // 4 bytes
	Price float32 // 4 bytes
	Size  float32 // 4 bytes
	Side  uint8   // 1 byte
	Type  uint8   // 1 byte
	Flags uint16  // 2 bytes
	Time  uint32  // 4 bytes (offset from epoch)
} // Total: 20 bytes

// MLX Market structure
type MLXMarket struct {
	BidBuffer     []MLXOrder // GPU buffer for bids
	AskBuffer     []MLXOrder // GPU buffer for asks
	TradeBuffer   []MLXOrder // GPU buffer for trades
	MarketID      uint32
	LastTradeTime uint32
}

func main() {
	fmt.Println("=== MLX Unified Memory Analysis for DEX ===")
	fmt.Println("Note: On Apple Silicon, CPU and GPU share the same memory pool")
	fmt.Println()

	// Calculate memory for different market scales
	marketScales := []int{100, 1000, 10000, 100000, 1000000}
	ordersPerMarket := 50 // Average active orders per market

	fmt.Println("Memory Requirements (MLX Unified Memory Architecture):")
	fmt.Println("=" + string(make([]byte, 70)))
	fmt.Printf("%-15s %-15s %-15s %-15s %-15s\n",
		"Markets", "Order Memory", "GPU Buffers", "Total Memory", "Hardware Req")
	fmt.Println("-" + string(make([]byte, 70)))

	for _, numMarkets := range marketScales {
		// Calculate memory components
		orderSize := 20 // MLX optimized order struct

		// Order book memory (bids + asks)
		orderMemory := int64(numMarkets) * int64(ordersPerMarket) * int64(orderSize) * 2

		// GPU processing buffers (for batch operations)
		// We allocate 20% of order memory for GPU working buffers
		gpuBuffers := orderMemory / 5

		// Market metadata and indices
		metadataMemory := int64(numMarkets) * 256 // 256 bytes per market metadata

		// Trade history (last 100 trades per market)
		tradeMemory := int64(numMarkets) * 100 * int64(orderSize)

		// Total memory
		totalMemory := orderMemory + gpuBuffers + metadataMemory + tradeMemory

		// Format output
		fmt.Printf("%-15s %-15s %-15s %-15s %-15s\n",
			formatNumber(numMarkets),
			formatBytes(orderMemory),
			formatBytes(gpuBuffers),
			formatBytes(totalMemory),
			getHardwareRecommendation(totalMemory))
	}

	fmt.Println()
	fmt.Println("=== Detailed Breakdown for Each Scale ===")
	fmt.Println()

	for _, numMarkets := range marketScales {
		analyzeMarketScale(numMarkets, ordersPerMarket)
	}

	// MLX-specific optimizations
	fmt.Println("=== MLX GPU Acceleration Benefits ===")
	fmt.Println()
	fmt.Println("1. Zero-Copy Architecture:")
	fmt.Println("   - No CPU→GPU memory transfers needed")
	fmt.Println("   - Direct GPU access to all order books")
	fmt.Println("   - Instant kernel launches")
	fmt.Println()
	fmt.Println("2. Parallel Processing:")
	fmt.Println("   - Match all markets simultaneously")
	fmt.Println("   - Batch operations across markets")
	fmt.Println("   - Hardware-accelerated sorting")
	fmt.Println()
	fmt.Println("3. Memory Efficiency:")
	fmt.Println("   - Shared memory pool (no duplication)")
	fmt.Println("   - Dynamic allocation as needed")
	fmt.Println("   - Automatic memory compression")
}

func analyzeMarketScale(numMarkets, ordersPerMarket int) {
	fmt.Printf("--- %s Markets Analysis ---\n", formatNumber(numMarkets))

	orderSize := 20 // bytes

	// Calculate components
	orderMemory := int64(numMarkets) * int64(ordersPerMarket) * int64(orderSize) * 2
	gpuBuffers := orderMemory / 5
	metadataMemory := int64(numMarkets) * 256
	tradeMemory := int64(numMarkets) * 100 * int64(orderSize)
	indexMemory := int64(numMarkets) * 64 // Hash indices

	totalMemory := orderMemory + gpuBuffers + metadataMemory + tradeMemory + indexMemory

	fmt.Printf("  Order Books (CPU/GPU shared):  %s\n", formatBytes(orderMemory))
	fmt.Printf("  GPU Processing Buffers:        %s\n", formatBytes(gpuBuffers))
	fmt.Printf("  Market Metadata:               %s\n", formatBytes(metadataMemory))
	fmt.Printf("  Trade History:                 %s\n", formatBytes(tradeMemory))
	fmt.Printf("  Indices & Caches:              %s\n", formatBytes(indexMemory))
	fmt.Printf("  --------------------------------\n")
	fmt.Printf("  Total System + GPU Memory:     %s\n", formatBytes(totalMemory))

	// Performance metrics
	matchingRate := numMarkets * 1000 // orders/sec per market
	fmt.Printf("  \n")
	fmt.Printf("  Expected Performance:\n")
	fmt.Printf("  - Matching throughput: %s orders/sec\n", formatNumber(matchingRate))
	fmt.Printf("  - Latency: <100μs batch processing\n")
	fmt.Printf("  - Power usage: ~%.0fW\n", estimatePower(totalMemory))

	// Hardware recommendation
	fmt.Printf("  \n")
	fmt.Printf("  Recommended Hardware:\n")
	fmt.Printf("  %s\n", getDetailedHardwareRec(totalMemory))
	fmt.Println()
}

func formatBytes(bytes int64) string {
	if bytes < 1024 {
		return fmt.Sprintf("%d B", bytes)
	} else if bytes < 1024*1024 {
		return fmt.Sprintf("%.2f KB", float64(bytes)/1024)
	} else if bytes < 1024*1024*1024 {
		return fmt.Sprintf("%.2f MB", float64(bytes)/(1024*1024))
	} else if bytes < 1024*1024*1024*1024 {
		return fmt.Sprintf("%.2f GB", float64(bytes)/(1024*1024*1024))
	} else {
		return fmt.Sprintf("%.2f TB", float64(bytes)/(1024*1024*1024*1024))
	}
}

func formatNumber(n int) string {
	if n < 1000 {
		return fmt.Sprintf("%d", n)
	} else if n < 1000000 {
		return fmt.Sprintf("%dK", n/1000)
	} else {
		return fmt.Sprintf("%.1fM", float64(n)/1000000)
	}
}

func getHardwareRecommendation(memoryBytes int64) string {
	memoryGB := float64(memoryBytes) / (1024 * 1024 * 1024)

	switch {
	case memoryGB < 8:
		return "Mac mini M2"
	case memoryGB < 32:
		return "Mac mini M2 Pro"
	case memoryGB < 96:
		return "Mac Studio M2 Max"
	case memoryGB < 192:
		return "Mac Studio M2 Ultra"
	case memoryGB < 384:
		return "2x Mac Studio M2 Ultra"
	default:
		return "Distributed cluster"
	}
}

func getDetailedHardwareRec(memoryBytes int64) string {
	memoryGB := float64(memoryBytes) / (1024 * 1024 * 1024)

	switch {
	case memoryGB < 8:
		return "• Mac mini M2 (8-24GB) - Entry level, development"
	case memoryGB < 32:
		return "• Mac mini M2 Pro (32GB) - Small exchange, <10K markets"
	case memoryGB < 64:
		return "• Mac Studio M2 Max (64GB) - Medium exchange, <50K markets"
	case memoryGB < 96:
		return "• Mac Studio M2 Max (96GB) - Large exchange, <100K markets"
	case memoryGB < 192:
		return "• Mac Studio M2 Ultra (192GB) - Global exchange, 1M markets"
	case memoryGB < 384:
		return "• 2x Mac Studio M2 Ultra networked - 2M+ markets"
	default:
		return "• Distributed cluster with 10+ nodes"
	}
}

func estimatePower(memoryBytes int64) float64 {
	memoryGB := float64(memoryBytes) / (1024 * 1024 * 1024)

	// Rough power estimates based on memory usage
	switch {
	case memoryGB < 32:
		return 50 // Mac mini M2 Pro
	case memoryGB < 96:
		return 100 // Mac Studio M2 Max
	case memoryGB < 192:
		return 200 // Mac Studio M2 Ultra (actual max 370W)
	default:
		return 400 // Multiple machines
	}
}

func showMemoryLayout() {
	fmt.Println("=== Memory Layout in MLX Architecture ===")
	fmt.Println()
	fmt.Println("┌─────────────────────────────────────┐")
	fmt.Println("│      Unified Memory (CPU+GPU)        │")
	fmt.Println("├─────────────────────────────────────┤")
	fmt.Println("│  Order Books (Direct GPU Access)    │")
	fmt.Println("│  ┌─────────────────────────────┐    │")
	fmt.Println("│  │ Market 1: Bids | Asks       │    │")
	fmt.Println("│  │ Market 2: Bids | Asks       │    │")
	fmt.Println("│  │ ...                         │    │")
	fmt.Println("│  │ Market N: Bids | Asks       │    │")
	fmt.Println("│  └─────────────────────────────┘    │")
	fmt.Println("│                                      │")
	fmt.Println("│  GPU Processing Buffers              │")
	fmt.Println("│  ┌─────────────────────────────┐    │")
	fmt.Println("│  │ Batch Match Results         │    │")
	fmt.Println("│  │ Sorting Workspace           │    │")
	fmt.Println("│  │ Aggregation Buffers         │    │")
	fmt.Println("│  └─────────────────────────────┘    │")
	fmt.Println("│                                      │")
	fmt.Println("│  Trade History & Metadata            │")
	fmt.Println("│  ┌─────────────────────────────┐    │")
	fmt.Println("│  │ Recent Trades               │    │")
	fmt.Println("│  │ Market Statistics           │    │")
	fmt.Println("│  │ User Positions              │    │")
	fmt.Println("│  └─────────────────────────────┘    │")
	fmt.Println("└─────────────────────────────────────┘")
	fmt.Println()
	fmt.Println("Note: Zero-copy between CPU and GPU cores")
	fmt.Println("      All data instantly accessible by both")
}