Chunk 66.3
From Capture Safety to MoE Ceiling: The Complete Arc of a Custom CUDA Verify Kernel Optimization
Message Articles
- The Architecture of Capture Safety: Designing a CUDA Graph-Compatible Verify Kernel for SGLang
- The Capture-Safe Kernel: Redesigning CUDA Graph Integration for SGLang on Blackwell GPUs
- The Glue That Binds: A Header File Update in the CUDA Graph Capture-Safety Pipeline
- The Final Solder Joint: Updating the C-ABI Layer for CUDA Graph Capture-Safety
- The Architecture of Capture-Safety: Refactoring a CUDA Kernel for Graph Replay
- The Moment of Truth: Deploying a Capture-Safe CUDA Kernel for Speculative Decoding on Blackwell GPUs
- The Leap of Faith: Enabling CUDA Graphs for a Custom sm_120 Verify Kernel
- The Moment of Truth: Validating a Custom CUDA Kernel Under Production Load
- The Moment CUDA Graphs Captured: A Custom Kernel's Rite of Passage
- The Moment of Truth: Validating CUDA Graph Capture for a Custom sm_120 Verify Kernel
- The Decisive A/B: When Benchmarking Honesty Reveals the Real Bottleneck
- The Profiler's Verdict: Idle Gaps Reveal the Next Bottleneck in Custom Verify Attention
- Diagnosing the Hidden Bottleneck: How a DRAM Throughput Trace Revealed CPU Orchestration as the Dominant Cost in Speculative Decoding
- Diagnosing the Idle GPU: Tracing CPU Orchestration Bottlenecks in Speculative Decoding
- The CPU Bottleneck That Stole the GPU's Thunder: Diagnosing Orchestration Idle Gaps in Speculative Decode
- The Instrumentation Imperative: How One Message Diagnosed a Ghost in the Machine
- The Moment of Measurement: How a Profiler Replaced Guesswork in Debugging SGLang's Decode Bottleneck
- The Profiler's Debut: How One Bash Command Transformed a Performance Investigation from Guesswork to Measurement
- The Silent Profiler: Diagnosing a Missing Instrumentation Signal in DDTree Speculative Decoding
- The 0.18ms Revelation: How a Profiler Threshold Exposed a Wrong Hypothesis in Speculative Decode Optimization
- The Moment the Hypothesis Broke: How Profiler Data Forced a Pivot in Speculative Decode Optimization
- The Screenshot That Changed Everything: How a Single GPU Profile Redirected a Speculative Decoding Optimization Hunt
- The Moment of Truth: Diagnosing a CUDA Graph Replay Failure in Speculative Decode
- The Turning Point: Eliminating the Marshaling Hypothesis in Speculative Decode Debugging
- The Turning Point: Instrumenting the Speculative Decode Pipeline
- The Draft Model Hypothesis: Systematic Debugging of a Speculative Decoding Bottleneck
- The 7-Millisecond Revelation: How Precise Profiling Unmasked the Real Bottleneck in Speculative Decoding
- The Occupancy Epiphany: How One Assistant Identified GPU Grid Starvation as the Root Cause of 2% DRAM Utilization in Speculative Decoding
- The Occupancy Hypothesis: How One Kernel Parameter Unlocked 1.8× Decode Speedup on Blackwell
- The Occupancy Epiphany: How One Environment Variable Unlocked 3× Throughput in a Custom CUDA Verify Kernel
- The Pivot Point: When a Single User Message Redefined the Bottleneck
- Reading the GPU Tea Leaves: A User's Visual Diagnosis in a Speculative Decoding Performance Tuning Session
- The Moment the Bottleneck Shifted: Interpreting GPU Utilization Heatmaps in Custom CUDA Kernel Development
- The Vectorized Load Payoff: Validating a Custom CUDA Verify Kernel on Blackwell GPUs
- The Verify Kernel Breakthrough: How Vectorized Loads Unlocked 6× Decode Speedup on Blackwell GPUs
- The Quiet Record: How a Single File Edit Captured 6× Decode Speedup
- The Commit That Locked In 6× Decode: A Milestone in Custom CUDA Kernel Engineering
- The Pivot Point: When Attention Optimization Meets the MoE Ceiling
- The Defrag Investigation: A Single Bash Command That Reveals the Architecture of Production ML Engineering
- The Needle in the Haystack: Tracing `need_sort` in SGLang's KV Cache Allocator
- The Tier 0 Defrag Decision: When the Bottleneck Shifts, Pragmatism Prevails
- The Quietest Commit: How a Three-Word Confirmation Captured the Pivot from Attention to MoE
- The Final Deployment: Tier 0 KV Defragmentation and the Art of Knowing When to Stop
- The Final Verification: Confirming a Production Kernel Deployment Across 8 GPUs
- The Art of Knowing When to Stop: Deferring Tier 1 Defrag in a Custom CUDA Kernel Odyssey
- The Strategic Pivot: When Evidence Overrides Plans
- The Closing Signal: How a Single Status Update Captured the Culmination of a Kernel Engineering Sprint
- The Capstone Report: When Kernel Engineering Meets Honest Bottleneck Analysis
- The Silence That Speaks: Analyzing an Empty User Message in a High-Stakes ML Engineering Session