Software tools & optimizations - Page 3#
Discover the latest blogs about ROCm software tools, libraries, and performance optimizations to help you get the most out of your AMD hardware.
GEAK Agent-Driven Optimization of the DeepSeekV4 MLA Kernel
GEAK Agent accelerates DeepSeekV4 MLA kernel optimization with Triton and delivers SGLang E2E gains on AMD GPUs.
Serving NVFP4 Models on AMD Instinct™ MI355 Accelerators
Learn how to serve NVFP4 models on AMD Instinct™ MI355 using an emulation pipeline in vLLM — no format conversion needed.
Porting High-Performance HIP Kernels to FlyDSL
This blog post shows how to port HIP C++ GPU kernels to FlyDSL, AMD's new Python DSL, matching hand-tuned C++ performance with less code.
SGLang-ATOM: Bring ROCm-Native Acceleration to SGLang Serving
Explore how SGLang-ATOM connects SGLang serving applications with ROCm-native ATOM execution to accelerate LLM inference on AMD Instinct GPUs.
Occupancy Math on the AMD MI355X GPU (CDNA4): A From-First-Principles Guide
Derive MI355X GPU (CDNA4) occupancy by hand: the four limiters, MXFP8 GEMM examples, and why matrix-bound kernels hit peak throughput at low occupancy.
RDC and RocProfiler Compared to DCGM for Commonly Used Metrics
Learn how CLI commands and Python code help you evaluate app performance without a profiler, with examples explaining what each metric means.
Primus Tuning Agent: Closing the Configuration-Search Loop
Use the Primus Tuning Agent to automatically find optimal LLM training configurations on AMD Instinct GPUs.
AgentKernelArena: Benchmarking AI Coding Agents for GPU Kernel Optimization on AMD Instinct GPUs
Explore how AI coding agents compare on real GPU kernel optimization with AgentKernelArena, AMD's open benchmarking arena for Instinct™ GPUs.
Optimizing MI300X Inter-Chiplet Communication via the RCCL Tuner API
Learn how to build a topology-aware RCCL tuner plugin for MI300X CPX/NPS4 mode and validate it with rccl-tests.
Accelerating LLM Inference on AMD GPUs with Low-Latency GEMMs
Learn how FlyDSL low-latency GEMMs speed up LLM decode on AMD GPUs with Split-K, K-slice parallelism, and an LDS-based pipeline.
OpenXLA and JAX - ROCm Support and the State of CI
Learn how OpenXLA and JAX run on AMD ROCm: what landed this year, how every PR is gated on real Instinct hardware, and how to get started.
Efficient GPU Utilization With Workload Pre-Emption in AMD Resource Manager
Learn how GPU workload pre-emption in AMD Resource Manager automatically reclaims idle GPU resources and improves cluster utilization.