June 2026 Velox: Focused on enabling UCX readiness and dependency hygiene to unlock future UCX-exchange capabilities, with groundwork for future business value. Implemented UCX readiness (fetch and declare ucxx when UCX is detected) and updated RAPIDS dependencies; prepared UCX exchange consumer wiring; enhanced build/deploy scripts and code hygiene; established CI/test scaffolding for future integration. No major bugs fixed this month; priority was feature enablement and maintainability to accelerate upcoming releases.

May 2026 performance summary for facebookincubator/velox focused on delivering a flexible CUDA runtime installation for runtime containers and improving repository setup hygiene, with an emphasis on business value and maintainability.

In March 2026, Velox delivered key GPU-accelerated data-path improvements and enhanced data-type support, boosting performance and scalability for large analytics workloads. Major deliveries include varchar support for cuDF min/max aggregations, GPU predicate pushdown with extracted simple filters to the cuDF Parquet reader, and expanded range-filter handling in AST with kBigintMultiRange and kMultiRange, along with a fix to edge-case behavior. These efforts reduce data scanned, avoid CPU fallbacks for varchar, and broaden complex filter capabilities while maintaining correctness and compatibility with existing CPU paths.

January 2026 Velox contribution focused on enabling high-performance exchanges via UCX. Delivered a UCX installation helper to prepare for upcoming hardware-accelerated data movement. No major bug fixes were recorded this month; the focus was on groundwork, reliability, and integration readiness. This work lays the foundation for higher throughput and lower latency in data exchanges, aligning with cudf integration and performance initiatives.

December 2025 Velox monthly summary focused on stabilizing build/test workflows for S3 configurations by gating the cudf S3 read test behind the VELOX_ENABLE_S3 flag. Implemented in the velox_cudf_s3_read_test build path so the test is compiled and run only when S3 support is enabled, reducing unnecessary test execution and linking in non-S3 configurations while preserving coverage for S3-enabled deployments. The change was implemented via commit 7ad7042bc7fdbb0d3c561f864846ab11243b52fe, referenced in PR 15613, with reviews by pedroerp and integration into main. This enhances CI efficiency, reduces resource usage, and improves developer experience without compromising test reliability or scalability.

Monthly work summary for 2025-08 focusing on delivering cudf expression enhancements to improve Presto TPC-H compatibility in IBM/velox. Key feature delivered and business impact highlighted below.

June 2025 (IBM/velox) monthly summary highlighting key customer-visible and internal improvements focused on GPU-accelerated data paths and extensibility. Key features delivered: - GPUDirect Storage (GDS) build dependencies added to velox builds to enable GDS-detection and utilization by GDS-enabled libraries like kvikio during compilation. This improves data path performance and readiness for GPU-accelerated workloads. (Commit: d09eca728e503846df207565e35bd5bada1b18eb) - Namespace prefixes support in cuDF introduced, enabling applications (e.g., Prestissimo) to register custom function prefixes; includes updates to aggregation and expression evaluation to handle prefixes and ensure external-library compatibility. (Commit: 06ebdc3a64b47b5d6579953787156b0e793cf822) Major bugs fixed: - No major bug fixes reported for June 2025 based on the provided data. Overall impact and accomplishments: - Accelerates GPU-accelerated I/O readiness and performance potential by enabling GDS-enabled libraries to detect and utilize GDS during build and at runtime. - Improves extensibility and interoperability with external libraries through namespace prefixes in cuDF, facilitating integrations with workloads like Prestissimo. - Strengthens cross-distro build reproducibility (CentOS 9 and Ubuntu) and prepares Velox for broader deployment of GPU-accelerated data workflows. Technologies/skills demonstrated: - CUDA tooling and GPU-accelerated I/O concepts (GDS, kvikio) - Linux packaging/dependency management (CentOS 9, Ubuntu) - cuDF feature development (namespace prefixes), with updates to aggregation and expression evaluation - Code integration and build system changes in the IBM/velox repository