3 مستودعات
Increasing hardware clock speeds beyond factory specifications to improve processing performance.
Distinct from GPU Clock Offsets: The candidate focuses on the mechanism (offsets); this tag identifies the intent and act of overclocking.
Explore 3 awesome GitHub repositories matching hardware & iot · Overclocking. Refine with filters or upvote what's useful.
This is the official documentation repository for Raspberry Pi hardware and software. It covers the complete range of Raspberry Pi single-board computers, the RP-series microcontrollers, and the Raspberry Pi operating system. The documentation provides reference material for setting up devices, configuring hardware, and using the system for tasks including AI inference, camera and video capture, embedded development, and remote access. The documentation covers the full boot chain from the GPU firmware and EEPROM bootloader through to kernel loading, with detailed guidance on boot configuratio
Documents raising clock speeds of the Arm CPU, GPU core, video blocks, and SDRAM for improved performance.
LACT is an AMD GPU control suite and performance tuner for Linux systems. It functions as a GPU hardware monitor and management interface designed to optimize VRAM and processor frequencies through offsets and custom power profiles. The project utilizes a client-server architecture, allowing a graphical interface to monitor and control graphics hardware over a network connection via a background daemon. This remote management capability enables users to manage hardware on distant machines from a centralized interface. The suite covers hardware tuning for overclocking and undervolting, power
Raises processor clock speeds through direct adjustments or offsets to improve overall GPU performance.
MemTestHelper is a diagnostic utility suite designed for analyzing memory performance, calculating timings, and managing automated stability stress tests. It serves as a parallel stress test manager that launches multiple memory test instances simultaneously to verify hardware stability and identify performance bottlenecks. The project distinguishes itself by providing a RAM timing calculator that converts memory timings and frequencies into nanoseconds. It further optimizes hardware validation through a memory performance analyzer capable of benchmarking bandwidth and categorizing hardware t
Enables tuning of memory timings and frequencies while monitoring stability and calculating latency for overclocking.