aiqbench analysis
This update enhances XProf by enabling cycle-level visibility into custom Pallas kernels on TPUs, resolving previous opacity that obscured hardware stalls in trace captures. By integrating hardware performance counters with external event triggers, the tool now accurately attributes execution time to specific units like MXUs and ALUs, allowing developers to optimize memory tiling and instruction fusion for TPU v7 workloads.
Google Adds Cycle-Level Kernel Profiling to XProf
Google has added a Kernel Profiling suite to XProf. This is its open-source profiler for TPU workloads. Now, developers can see cycle-level details in custom Pallas kernels. Before, these kernels appeared as single opaque blocks in trace captures. By Claudio Masolo
Google has added a Kernel Profiling suite to XProf. This is its open-source profiler for TPU workloads. Now, developers can see cycle-level details in custom Pallas kernels. Before, these kernels appeared as single opaque blocks in trace captures. On TPU v7 (Ironwood), XProf samples hardware performance counters during runtime. In a tiled matmul example, Google found a memory stall.…
Excerpt shown under the publisher's RSS terms · 59 words · full text and figures are on the publisher's site
Related coverage
Links #3: 2026/06 Part 1
LessWrong · Jun 15, 2026
Performance Profiling on AMD GPUs – Part 5: Profiling-Driven Kernel Optimization with an AI Code-Assist Tool
AMD · Jul 16, 2026
From Naive to Near-Peak: Building High-Performance GEMM Kernels with Gluon
AMD · May 22, 2026
[AINews] Reality Checks on AI News (Yegge shuts down Gas Town, Databricks’ +60% Astra cost)
Latent Space · Sep 17, 2026