'compute' 검색 결과

Computes multi-constellation Global Positioning System (GPS) or Global Navigation Satellite System (GNSS) positions from RINEX v3 data using rinexread, gnssmeasurements, receiverposition, and gnssoptions. Filters by constellation, elevation mask, C/N0, and observation code. Reports DOP, scatter RMS, and satellite count. Use when processing GNSS data, computing positions from RINEX files, analyzing accuracy, comparing constellations, or evaluating satellite geometry. Do NOT use for carrier-phase RTK/PPP, IMU fusion, orbit propagation, NMEA streaming, or RINEX v4.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Compute aerospace environment properties including atmosphere (ISA, COESA, NRLMSISE-00, non-standard, CIRA), gravity (spherical harmonic, WGS84, zonal, centrifugal), horizontal wind (HWM), magnetic field (WMM, IGRF), geoid height, geocentric radius, space weather data, planetary ephemeris, Earth orientation (polar motion, nutation, delta-UT1, CIP). Use when computing atmospheric density, temperature, pressure, gravity vectors, wind profiles, magnetic field components, geoid undulation, solar flux indices, planet positions, or Earth orientation parameters for aerospace vehicle analysis, spacecraft environment modeling, or navigation corrections.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when driving a desktop GUI through a computer-use driver — windows, menus, native apps, OS dialogs. You build a table of safe actions; Jev picks the next one in about 0.4 seconds.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Execute arbitrary Python or PySpark code on Fabric Spark compute without creating a notebook artifact; ephemeral Livy sessions with full Delta table access. Automatically invoke when the user asks to "run PySpark in Fabric", "create a Livy session", "execute Python on Fabric compute", "run Spark without a notebook", "submit code to Fabric", "ephemeral Spark execution", "run ETL in Fabric".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

LuisaCompute API guide covering the DSL (kernels, callables, structs, buffers, atomics, control flow, dispatch), the runtime API (Context, Device, Stream, buffers, images, ray tracing, rasterization), AST usage markers and AST-to-XIR lowering, the core library (traits, types, logging, math, fiber, allocators, STL containers), and vstd containers (HashMap, queues, pools, variant, smart pointers, utilities).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Compile hand-written native compute shaders and dispatch them from a Stream through NativeShaderExt — HLSL on dx/vk (DXC), GLSL on vk (glslang), CUDA C++ on cuda (NVRTC) — covering compile/reflect/load, NativeShaderLauncher binding by index/register+space/positional, uniforms (root constants / push constants / scalar kernel params), the per-argument Usage contract, include dirs, and lifetime.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

XMake build configuration, options, commands, and patterns for LuisaCompute.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimize LuisaCompute DSL kernels using warp/wave primitives, shared-memory aggregation, block-level collectives, thread-group (block) size / occupancy tuning, and C++ branch-prediction hints (`[[likely]]`/`[[unlikely]]`). Use when kernels bottleneck on atomics, reductions, inter-thread communication, or poor occupancy.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement, compose, test, and debug LuisaCompute XIR transformation and analysis passes. Use when modifying files under src/xir/passes or include/luisa/xir/passes, changing CFG or SSA invariants, authoring a PassPipeline, or diagnosing pass-order, reachability, PHI, dominance, aliasing, or memory-effect bugs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Navigate and modify LuisaCompute AST-to-XIR lowering, CFG/SSA representation changes, pass composition, and Metal XIR-to-LLVM/AIR normalization. Use when tracing AST-to-XIR calls, changing pass order, debugging structured versus plain CFG, or extending AIR ABI features such as bool/byte layout, PACK, acceleration, raster stages, runtime builtins, stateful ray queries, external linkage, and fail-closed boundaries.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

C++ naming, formatting, static analysis, and RTTI rules for LuisaCompute.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

CMake build options, custom functions, and backend patterns for LuisaCompute.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

clangd LSP over HTTP for C++ syntax checks and symbol navigation in LuisaCompute sources.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

SPIRV-Tools optimizer pass development, IR manipulation, PassTest registration, and LuisaCompute spvtools::Optimizer integration (presets, LUISA_SPIRV_OPT_* env knobs).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build, run, debug, and operate applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments that run inside a container with up to 8-hour lifetimes. Triggers on: Lambda MicroVMs, Firecracker isolation, snapshot-resumable compute, suspend/resume, sandboxed or untrusted code execution, AI/agent code-execution sandboxes, interactive code playgrounds and notebooks (Jupyter, REPLs), reinforcement-learning environments, multi-tenant CI executors and build runners, sessionful game or simulation servers, isolated security scanners, long-lived sessions, or port-listening servers (gRPC, WebSocket, custom TCP). For standard event-driven Lambda functions, use the aws-lambda skill instead.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use Avibe's local Computer Use CLI for carefully bounded desktop observation and actions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

操作 macOS 桌面应用，探测窗口和自动化接口、截图、读取或修改辅助功能元素、执行鼠标键盘动作，以及通过 CDP 操作内嵌 Chromium 页面。适用于桌面应用自动化与界面验收；普通网页任务优先使用已有浏览器工具。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement application state with Angular Signals, computed derivations, and NgRx Signal Store. Use when implementing reactive state with signal(), computed(), effect(), or @ngrx/signals in Angular.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Compute metrics for Claude Code sessions. Discovers via ccrider, filters trivial, computes friction/opportunity/fingerprint scores. Use for broad session triage.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Comprehensive guide for developing WebGPU-enabled Three.js applications using TSL (Three.js Shading Language). Covers WebGPU renderer setup, TSL syntax and node materials, compute shaders, post-processing effects, and WGSL integration. Use this skill when working with Three.js WebGPU, TSL shaders, node materials, or GPU compute in Three.js.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Python Materials Genomics library for structure analysis, thermodynamics, and electronic properties. Parse/create crystal structures (CIF, POSCAR), query Materials Project for DFT-computed properties, analyze phase and Pourbaix diagrams, compute XRD patterns, generate DFT inputs for VASP, Quantum ESPRESSO, CP2K. Alternatives: ASE (MD/geometry), AFLOW (high-throughput), OVITO (visualization).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

This skill should be used when the user needs to calculate their income tax (所得税), compute deductions, or import withholding slips. Trigger phrases include: "所得税を計算", "確定申告書を作成", "控除を計算", "源泉徴収票を取り込む", "所得税額", "納付額を計算", "還付額を計算", "第一表", "第二表", "申告書B", "所得控除", "税額控除".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

This skill should be used when the user needs to perform year-end closing adjustments (決算整理), review financial statements (決算書), compute depreciation, or review their trial balance. Trigger phrases include: "決算", "決算整理", "決算書を作る", "減価償却", "試算表", "残高試算表", "損益計算書", "貸借対照表", "BS", "PL", "期末処理", "棚卸し", "未払計上", "前払処理".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Serverless compute for Databricks jobs, Lakeflow pipelines and Declarative Automation Bundles (DABs), with STANDARD or PERFORMANCE_OPTIMIZED and classic only where serverless cannot run the workload. Use when creating, deploying, scheduling or editing a job or pipeline, or deciding its compute. Invoke BEFORE writing a job spec. For migrating existing classic workloads, use databricks-serverless-migration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.