Search Results for "energy"

Intel® Performance Counter Monitor (Intel® PCM) is an application programming interface (API) and a set of tools based on the API to monitor performance and energy metrics of Intel® Core™, Xeon®, Atom™ and Xeon Phi™ processors. PCM works on Linux, Windows, Mac OS X, FreeBSD, DragonFlyBSD and ChromeOS operating systems.

...At its core is bitnet.cpp, a highly optimized C++ backend that supports fast, low-memory inference on both CPUs and GPUs, enabling models such as BitNet b1.58 to run without requiring enormous compute infrastructure. The project’s focus on extreme quantization dramatically reduces memory footprint and energy consumption compared with traditional 16-bit or 32-bit LLMs, making it practical to deploy advanced language understanding and generation models on everyday machines. BitNet is built to scale across architectures, with configurable kernels and tiling strategies that adapt to different hardware, and it supports large models with impressive throughput even on modest resources.

...Instead of reinventing algorithms on the fly during contests like ACM-ICPC or Codeforces rounds, competitors can import exactly the component they need — whether a segment tree with lazy propagation, a minimum cost flow solver, or a fast Fourier transform — and focus their energy on problem logic and strategy.

...By eliminating redundant complexity and verbosity, development becomes highly deterministic, allowing applications to utilize components almost mechanically with zero runtime edge cases. Focus on Real Problems, Not Language Overhead: Minimizing learning curves frees developers from endless "backward learning" (legacy quirks), redirecting energy toward actual business logic. Code As Formal Proof: Built with theoretical completeness. C/C++ can serve as a rigorous, physically verifiable foundation for formal mathematical and logical languages. 本庫屬基礎 C++ 庫, 封裝常用 C 函式與系統呼叫為直覺介面, 旨在高效物件導向開發. 架構極重一致性，透過消滅冗餘複雜度與代碼冗長, 令開發具高度確定性, 組件可近乎「機械式」調用且零運行期邊界錯誤. 聚焦真實問題, 拒絕語言內耗: 壓縮學習成本, 解放無止境的「後向學習」(歷史包袱與瑣碎語法),專注實質業務邏輯. ...

Makani was an ambitious Google X project that sought to harness wind energy using airborne wind turbines — autonomous kites capable of generating power while flying in crosswind patterns. This open-source repository contains the complete software stack that powered Makani’s research and flight systems, including the flight simulator, autopilot controller, avionics firmware, visualization tools, and ground control software.

Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One instance of where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.These algorithms can train models for classical supervised learning problems with memory requirements that are orders of magnitude lower than other modern ML algorithms. ...

...Molecular-Dreams was developed on Linux, but it could be easily ported to other platforms, as MacOSX, Windows, Android and others. Finally and simplifying my thoughts, I could say, Variables and Procedures are Energy-Quantum, Objects are Atoms, Applications are Molecules, and so System is the Matter.

...How to tune/optimize the auto-parallelizer's compiler 2. Whether the appropriate optimization procedure is provided within the compiler This project is partially funded by the Department of the New Energy and Industrial Technology Development Organization (NEDO).

The Local Binary Pattern (LBP) is a texture operator that is used in several different computer vision applications and implemented in a variety of platforms. When selecting a suitable LBP implementation platform, the specific application and its requirements in terms of performance, size, energy efficiency, cost and developing time has to be carefully considered. This is a software toolbox that collects software implementations of the Local Binary Pattern operator in several platforms: - OpenCL for CPU & GPU - OpenCL for GPU (branchless) - C code optimized for ARM - OpenGL ES 2.0 shaders mobile GPUs - C code for TI C64x DSP core (branchless) - C code for TTA processor synthesis If you use the code somewhere, please cite: Bordallo López M., Nieto A., Boutellier J., Hannuksela J., and Silvén O. ...

The Physics eXtension Library (PXL) is a C++ toolkit for fourvector analysis and hypothesis evolution in high energy physics data analysis.

VISPA is a novel development environment for high energy physics analyses, based on a combination of graphical and textual steering. The main goal of VISPA is to support users in prototyping, performing, and verifying a data analysis of any complexity.

Surviving bots is continuous software application in Java that will guide robots to search for energy source around it, tap it and explore ahead for survival and thus evolve into much more advance system.Software is ment to be hardware independent.

A feature-rich IDE with a large database of sample code in order to stop wasting time on the minute details when they can be automated. This idea appeals not just to newcomers, but to seasoned vets alike; nobody likes to waste their time and energy. This will be the perfect IDE to let your imagination run wild, without being held back by the tedious algorithms. When you were a kid were you dying to learn about pointer arithmetic, or did you want to just be able to create something robust and expressive, that you could point to and say "I created that. I saw where that was not, and I said 'this will not do.'"? ...