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GRAPE
View on WikipediaGRAPE, or GRAphics Programming Environment is a software development environment for mathematical visualization, especially differential geometry and continuum mechanics.[1] In 1994, it won the European Academic Software Award.[2]
The term graphical refers to the applications; the programming itself is mostly based on C. GRAPE was developed by the University of Bonn in Germany and is available for free for non-commercial purposes. It has not been developed actively since 1998.
qfix Grape
[edit]Another graphical programming environment called GRAPE is developed by qfix and the University of Ulm. Here, it is used as a graphical tool for developing object oriented programs for controlling autonomous mobile robots. After arranging graphical program entities to receive the desired flow chart, the graphical program can be translated to source code (e.g. C++). A modular interface makes the environment easy to extend, so additional classes can be integrated or different flowchart-to-code translator or compilers can be used.
References
[edit]- ^ M. Rumpf, M. Wierse, Time-dependent flow. In Visualization Methods in High Performance Computing and Flow Simulation (1996)
- ^ Introduction to GRAPE
External links
[edit]GRAPE
View on GrokipediaEtymology and Description
Etymology
GRAPE is an acronym for GRAvity PipE, reflecting its design as a pipelined processor specialized for computing gravitational forces in N-body simulations. The name emphasizes the system's efficient, pipeline-based architecture for handling pairwise particle interactions in self-gravitating systems.[1]Description
The GRAPE family consists of special-purpose computers developed to accelerate Newtonian gravitational force calculations in astrophysical N-body simulations. These systems act as hardware accelerators attached to general-purpose workstations, offloading the computationally intensive task of pairwise force summations while the host handles other simulation aspects, such as particle position updates and overall orchestration. From the user's perspective, GRAPE integrates transparently via a software library that routes gravity computation calls to the hardware, delivering results orders of magnitude faster without requiring changes to the application code.[1] GRAPE's architecture centers on custom-designed "gravity chips" optimized for direct N-body force evaluations between particle pairs. Early models like GRAPE-1 (1989) and GRAPE-2 (1990) used off-the-shelf components on single boards, achieving 240 Mflops (single precision) and 40 Mflops (double precision), respectively. Starting with GRAPE-3 (1991), custom chips were introduced, each equivalent in performance to an entire earlier board, enabling scalability. A key design feature is the alternation of precision by model number: odd-numbered GRAPEs (e.g., GRAPE-3, GRAPE-5) operate in single precision, while even-numbered ones (e.g., GRAPE-4, GRAPE-6) use double precision for higher accuracy in simulations.[1] Systems scale from single-board units suitable for desktop workstations to multi-cabinet clusters. For instance, GRAPE-6 boards deliver 1 Tflop peak performance in double precision, with full systems configurable up to 48 Tflops or more through parallel arrays of chips and interconnects. The chips employ pipelined arithmetic units tailored to the gravity kernel, processing all pairwise interactions efficiently. Integration occurs via peripheral interfaces, evolving from custom connections in early prototypes to standard plug-in boards, allowing cost-effective setups—for example, a 1 Tflop system for under $100,000 as of the early 2000s. This architecture has enabled high-fidelity simulations of up to a million particles, advancing studies in stellar dynamics and galaxy formation.[1]History
Early Development
The GRAPE project originated in 1989 at the University of Tokyo, led by Daiichiro Sugimoto, with the goal of accelerating Newtonian gravitational force calculations for N-body simulations in astrophysics.[1] Initial prototypes used off-the-shelf components. GRAPE-1, completed in 1989, was a single-board system achieving 240 megaflops in single precision.[1] GRAPE-2 followed in 1990, offering 40 megaflops in double precision.[1] The project advanced with custom-designed application-specific integrated circuits (ASICs) starting from GRAPE-3 in 1991, which reached 15 gigaflops using "gravity" chips equivalent to a full GRAPE-1 board.[1] This model enabled studies like galaxy encounters, contributing to publications on merger cross-sections in 1997.[1] Following Sugimoto's retirement, Jun Makino became the principal investigator.[1]Advanced Models and Achievements
GRAPE-4, completed in 1995, marked a major milestone with 1 teraflop performance in double precision, setting a world speed record and earning Makino and Makoto Taiji the 1995 Gordon Bell Prize.[1] It was detailed in the 1998 book Scientific Simulations with Special-Purpose Computers: The GRAPE Systems.[1] GRAPE-6, introduced in 2001, scaled to 48 teraflops in full systems at the University of Tokyo, with partial configurations reaching 32 teraflops using four cabinets of eight 1-teraflop boards each.[1] These systems supported simulations of up to a million particles and were commercially available for under $100,000, making high-performance computing accessible.[1] Applications included star cluster evolution and galactic nuclei dynamics.[1] The project influenced broader computational astrophysics, inspiring petaflop-scale designs. A 1997 workshop at the Institute for Advanced Study explored extensions to hydrodynamics and other physics, though focus remained on gravity computations.[1] As of 2001, plans for GRAPE-8 aimed for petaflop performance, pending funding.[1]Cultivation
Major Producing Regions
Grape cultivation thrives in diverse global regions suited to the plant's environmental needs, with the total worldwide vineyard area reaching 7.2 million hectares in 2023, of which approximately 71% is dedicated to wine grapes and 27% to table grapes.[5] These areas are predominantly located in temperate to subtropical zones between 30° and 50° latitude, where vines require 1,200–2,500 growing degree days (base 10°C or 50°F) for optimal ripening, well-drained soils like sandy loam or gravel to prevent root rot, and frost-free periods of 150–200 days to avoid bud damage.[6] The ideal Mediterranean climate—mild, wet winters and hot, dry summers—supports Vitis vinifera, the primary species, by minimizing disease pressure while allowing sufficient heat accumulation.[7] The Mediterranean basin dominates as the core of traditional grape production, with Spain, France, and Italy collectively accounting for over 34% of global vineyard area. Spain leads with 945,000 hectares, primarily in regions like Rioja and Catalonia, where arid conditions favor high-quality wine grapes. France follows with 792,000 hectares, concentrated in Bordeaux and Burgundy, benefiting from diverse microclimates that enhance varietal expression. Italy's 720,000 hectares span from Tuscany to Sicily, leveraging volcanic and alluvial soils for robust reds and whites.[5] In the New World, production centers in the Americas and Oceania reflect adaptations to varied terrains. The United States, with 392,000 hectares mostly in California, exemplifies innovative approaches in areas like Napa Valley, where fog-influenced valleys and mechanized systems optimize yields. Argentina's 205,000 hectares in Mendoza thrive at high altitudes with Andean irrigation, while Chile's 172,000 hectares along the coastal ranges utilize cool Pacific breezes for premium exports.[5] Emerging producers are expanding rapidly in Asia and beyond, driven by rising domestic demand. China ranks third globally with 756,000 hectares, focused on table grapes in the Yangtze River Valley's humid subtropics, though wine production grows in drier northwest provinces. India's 180,000 hectares center in Maharashtra and Karnataka, adapting to monsoon patterns with heat-tolerant varieties. Australia maintains 159,000 hectares in South Australia's Barossa Valley and New South Wales, where challenges like water scarcity in the Murray-Darling Basin prompt sustainable management amid hot, continental conditions.[5]| Country/Region | Vineyard Area (2023, thousand ha) | Share of Global Total (%) | Key Specialties |
|---|---|---|---|
| Spain (Mediterranean) | 945 | 13.1 | Rioja reds; arid-adapted wines |
| France (Mediterranean) | 792 | 11.0 | Bordeaux Cabernet Sauvignon terroir; maritime influence |
| China (Emerging Asia) | 756 | 10.5 | Table grapes; expanding wine in northwest |
| Italy (Mediterranean) | 720 | 10.0 | Tuscan Sangiovese; volcanic soils |
| USA (New World, California) | 392 | 5.4 | Napa Valley innovations; fog-cooled Chardonnay |
| Argentina (New World) | 205 | 2.8 | Mendoza Malbec; high-altitude cooling |
| India (Emerging Asia) | 180 | 2.5 | Monsoon-adapted table varieties |
| Chile (New World) | 172 | 2.4 | Coastal Sauvignon Blanc; Pacific moderation |
| Australia (New World) | 159 | 2.2 | Barossa Shiraz; irrigation in arid zones |
