Heterogeneous computing
computing using more than one kind of processor or cores
Heterogeneous computing refers to systems that use more than one kind of processor or core. These systems gain performance or energy efficiency not just by adding the same type of processors, but by adding dissimilar coprocessors, usually incorporating specialized processing capabilities to handle particular tasks.
Heterogeneity
Usually heterogeneity in the context of computing refers to different instruction-set architectures (ISA), where the main processor has one and other processors have another - usually a very different - architecture (maybe more than one), not just a different microarchitecture (floating point number processing is a special case of this - not usually referred to as heterogeneous).
The level of heterogeneity in modern computing systems is gradually increasing as further scaling of fabrication technologies allows for formerly discrete components to become integrated parts of a system-on-chip, or SoC. For example, many new processors now include built-in logic for interfacing with other devices (SATA, PCI, Ethernet, USB, RFID, radios, UARTs, and memory controllers), as well as programmable functional units and hardware accelerators (GPUs, cryptography co-processors, programmable network processors, A/V encoders/decoders, etc.).
Recent findings show that a heterogeneous-ISA chip multiprocessor that exploits diversity offered by multiple ISAs can outperform the best same-ISA homogeneous architecture by as much as 21% with 23% energy savings and a reduction of 32% in Energy Delay Product (EDP). AMD's 2014 announcement on its pin-compatible ARM and x86 SoCs, codename Project Skybridge,
suggested a heterogeneous-ISA (ARM+x86) chip multiprocessor in the making.
Heterogeneous CPU topology
A system with heterogeneous CPU topology is a system where the same ISA is used, but the cores themselves are different in speed. The setup is more similar to a symmetric multiprocessor. (Although such systems are technically asymmetric multiprocessors, the cores do not differ in roles or device access.) There are typically two types of cores: a higher performance core usually known as a "big" or P-core and a more power efficient core usually known as a "small" or E-core. The terms P- and E-cores are usually used in relation to Intel's implementation of heterogeneous computing, while the terms big and little cores are usually used in relation to the ARM architecture.
Begin with the source’s own compact description: “Heterogeneous computing” is computing using more than one kind of processor or cores. The dossier treats that line as a proposition to test through Heterogeneous, computing and using, not as a finished interpretation.
Why this record matters
The phrase “computing using more than one kind of processor or cores” supplies a clear boundary for inquiry. It also exposes the unanswered questions: who defined that boundary, when it became stable and which sources sit outside it.
The date and method of observation matter as much as the stated conclusion, especially where classification or consensus has changed. The source revision retrieved here is dated Sep 16, 2026. The linked authority identifier is Q17111997. None of the 0 selected statements returned an explicit reference. The first chronological checks are 2014.
Scientific names, classifications and consensus can change while older terminology persists in catalogues and historical literature. The source lead contains qualifying language; that uncertainty should survive quotation, summary and reuse. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.
How to read it
Check terminology, classification and the date of the cited evidence. Scientific names and technical consensus can change while older records retain historical value.
- Current terminology
- Classification context
- Finding cited technical literature
Primary datasets, specimen catalogues, standards bodies and the most recent peer-reviewed literature.
Three-step research path
- Establish the record: confirm the title “Heterogeneous computing”, its source revision and the description used here.
- Expand the search: follow Heterogeneous computing primary sources, Heterogeneous computing archive and Heterogeneous research across catalogues and specialist indexes.
- Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.
Questions for further research
- Which source most directly establishes the central claim about “Heterogeneous computing”?
- Is the terminology current, historical or disputed?
- Which observation, specimen, dataset or publication supports the account?
Search terms from this dossier
This entry incorporates text from “Heterogeneous computing” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.