Showing 4 open source projects for "riscv-none-embed-gcc"

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  • 1
    Synapse Machine Learning

    Synapse Machine Learning

    Simple and distributed Machine Learning

    ...These tools enable powerful and highly-scalable predictive and analytical models for a variety of data sources. SynapseML also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users can embed any web service into their SparkML models. For production-grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster.
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  • 2
    Spark JobServer

    Spark JobServer

    REST job server for Apache Spark

    Spark Job Server offers a RESTful interface for submitting, managing, and running jobs or contexts on Apache Spark. Rather than requiring every application to embed Spark or manage Spark contexts manually, this server abstracts a long-lived service where clients can upload JARs, start and stop contexts, submit jobs synchronously or asynchronously, and manage named objects (RDDs / DataFrames) across job executions. It supports multiple modes (transient jobs, persistent contexts for reuse, streaming, SQL/Hive, etc.), and can be integrated with authentication/authorization systems (e.g. via Apache Shiro). ...
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  • 3
    RISC-V BOOM

    RISC-V BOOM

    SonicBOOM: The Berkeley Out-of-Order Machine

    The riscv-boom project (also called BOOM or SonicBOOM) implements a high-performance, synthesizable out-of-order RISC-V core written in the Chisel hardware construction language. It targets the RV64GC (i.e. 64-bit with general + compressed + floating point) instruction set and supports features such as virtual memory, caches, atomics, and IEEE-754 floating point.
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  • 4

    Debian Unstable/testing alpha.

    Pre-Alpha Console distro for high performance Linux computing.

    ...Final alpha release features: ======== * Usb image * General debian repos * VM optimizations * Hugepages by default * CGROUPs optimized by default * ALSA * Latest Debugging / Baremetal kernels * Full Haswell and MIC support in test * Full optimized python support * Full optimized perl support * Java compliance * IPv6 full stack with IPsets * Multipath storage * Overclocking tools * Student/Developer scripts. (git pull, builders) * i915 latest support drivers and gallium. * Kernel patching, testing featurettes * Wi-Fi and bluetooth ipv4 support * Latest GCC versions * Qt, Java, Maven, Desktop improvements Notes ==== Basic Console Pre-alpha build Test and rate for improvemen
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