ADIOS2 transports data as groups of self-describing variables and attributes across different media types (such as files, wide-area-networks, and remote direct memory access) using a common application programming interface for all transport modes. ADIOS2 can be used on supercomputers, cloud systems, and personal computers.

StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.

StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.

PaRSEC is a generic framework for architecture aware scheduling and management of micro-tasks on distributed many-core heterogeneous architectures. Applications are expressed as a Direct Acyclic Graph of tasks with labeled edges designating data dependencies. PaRSEC assigns computation threads to the cores, overlaps communications and computations between nodes as well as between host and accelerators (like GPUs). It achieves these features by using a dynamic, fully-distributed scheduler based on architectural features such as NUMA nodes and GPU awareness, as well as algorithmic features such as data reuse.

StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.

StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.

ViTE is a trace explorer. It is a tool to visualize execution traces of parallel programs (OpenMP, MPI, etc.) in Pajé or OTF format for debugging and profiling parallel or distributed applications. Such traces can be obtained using, for example, EZTrace.

javascript implementation of Dunning's T-Digest for streaming quantile approximation

Client for prometheus

The Node.js `util.deprecate()` function with browser support

Generate HEX colors for a given namespace.

Browser-friendly inheritance fully compatible with standard node.js inherits()

Determines if an object can be used as an array

Run the supplied function exactly one time (once)

A list of color names and its values

Definitions of levels for logging purposes & shareable Symbol constants.

HTTP and HTTPS modules that follow redirects.

Base stream implementations for winston@3 and up.

A logger for just about everything.

Check if something is a Node.js stream

Deterministic and safely JSON.stringify to quickly serialize JavaScript objects

Higher-order functions and common patterns for asynchronous code

A configurable-on-the-fly HTTP Proxy

Date formatting and parsing