Abstract: A multi-chiplet system includes a first chiplet comprising a first transceiver and a first chiplet-to-chiplet (C2C) interface module, and a second chiplet comprising programmable logic circuitry and a second C2C interface module. The first transceiver is configured to generate a clock, which is transmitted from the first C2C interface module to the second C2C interface module, through a clock transmission wire, for data transfer between the first chiplet and the second chiplet.

Abstract: Some examples described herein provide for interconnect in chiplet systems, for example system-level techniques for error correction in chip-to-chip interfaces. In an example, a method of error correction includes receiving, at a first chiplet, a data message via a set of interconnect, and transmitting a first control message that requests retransmission of the data message based on detecting an error associated with receiving the data message. The method also includes transmitting one or more instances of a second control message that indicates an idle operation at the first chiplet until the first chiplet receives a third control message that triggers an end of a retransmission mode. The method also includes transmitting a fourth control message frame indicating the end of the retransmission mode, and receiving a retransmission of the data message from the second chiplet.

Abstract: In accordance with the described techniques for extended attributes for shared page tables, a device includes an accelerator device and a memory management unit that maintains a first set of page tables and a second set of page tables. The second set of page tables includes extended attributes for accessing data that the accelerator device operates on. The memory management unit is configured to receive a virtual memory address, and translate the virtual memory address to a physical memory address using the first set of page tables. In addition, the memory management unit retrieves the extended attributes from the second set of page tables. In this way, data is accessed from the physical memory address based on the extended attributes.

Abstract: Embodiments herein describe using an adaptive chip-to-chip (C2C) interface to interconnect two chips, wherein the adaptive C2C interface includes circuitry for performing multiple different C2C protocols to communicate with the other chip. One or both of the chips in the C2C connection can include the adaptive C2C interface. During boot time, the adaptive C2C interface is configured to perform one of the different C2C protocols. During runtime, the chip then uses the selected C2C protocol to communicate with the other chip in the C2C connection.

Abstract: Embodiments herein describe connecting an ASIC to another integrated circuit (or die) using inter-die connections. In one embodiment, an ASIC includes a fabric sliver (e.g., a small region of programmable logic circuitry). Inter-die fabric extension connections are used to connect the fabric sliver in the ASIC to fabric (e.g., programmable logic) in the other integrated circuit. These connections effectively extend the fabric in the ASIC to include the fabric in the other integrated circuit. Hardened IP blocks in the ASIC can then use the fabric sliver and the inter-die extension connections to access computer resources in the other integrated circuit.

Abstract: Embodiments herein describe using an adaptive chip-to-chip (C2C) interface to interconnect two chips, wherein the adaptive C2C interface includes circuitry for performing multiple different C2C protocols to communicate with the other chip. One or both of the chips in the C2C connection can include the adaptive C2C interface. During boot time, the adaptive C2C interface is configured to perform one of the different C2C protocols. During runtime, the chip then uses the selected C2C protocol to communicate with the other chip in the C2C connection.

Abstract: An integrated circuit (IC) for adaptive memory expansion scheme is proposed, which comprises: a home agent comprising a first memory expansion pool and a second memory expansion pool; a first port connecting the home agent to a first memory expansion device, where the first memory expansion device comprises a first memory pool; a second port connecting the home agent to a second memory expansion device, where the second memory expansion device comprises a second memory pool; a first address table mapping the first memory expansion pool to the first memory pool based on a size of the first memory expansion pool or a size of the first memory pool; and a second address table mapping the second memory expansion pool to the second memory pool based on a size of the second memory expansion pool or a size of the second memory pool.

Abstract: Systems and methods for making payments are described. The method includes transmitting with a first telecommunications device a request for a transaction identification (TID), a payment amount for a financial transaction, and first geographical location data to a payment server. The payment server generating and transmitting the TID to the first telecommunications device. The first telecommunications device communicating the received TID to a second telecommunications device, and the second telecommunications device transmitting the received TID and second geographical location data to the payment server. The payment server comparing the received TID to the generated TID and the first to the second geographical location data, and in response to a match, transmitting back to the second telecommunications device a payment confirmation request. The second telecommunications device transmitting an authorization order to the payment server to release the payment amount to the first telecommunications device.

Abstract: The embodiments herein describe a multi-tenant cache that implements fine-grained allocation of the entries within the cache. Each entry in the cache can be allocated to a particular tenant—i.e., fine-grained allocation—rather than having to assign all the entries in a way to a particular tenant. If the tenant does not currently need those entries (which can be tracked using counters), the entries can be invalidated (i.e., deallocated) and assigned to another tenant. Thus, fine-grained allocation provides a flexible allocation of entries in a hardware cache that permits an administrator to reserve any number of entries for a particular tenant, but also permit other tenants to use this bandwidth when the reserved entries are not currently needed by the tenant.

Abstract: The embodiments herein describe a virtualization framework for cache coherent accelerators where the framework incorporates a layered approach for accelerators in their interactions between a cache coherent protocol layer and the functions performed by the accelerator. In one embodiment, the virtualization framework includes a first layer containing the different instances of accelerator functions (AFs), a second layer containing accelerator function engines (AFE) in each of the AFs, and a third layer containing accelerator function threads (AFTs) in each of the AFEs. Partitioning the hardware circuitry using multiple layers in the virtualization framework allows the accelerator to be quickly re-provisioned in response to requests made by guest operation systems or virtual machines executing in a host. Further, using the layers to partition the hardware permits the host to re-provision sub-portions of the accelerator while the remaining portions of the accelerator continue to operate as normal.

Abstract: Embodiments herein describe a processor system that includes an integrated, adaptive accelerator. In one embodiment, the processor system includes multiple core complex chiplets that each contain one or processing cores for a host CPU. In addition the processor system includes an accelerator chiplet. The processor system can assign one or more of the core complex chiplets to the accelerator chiplet to form an IO device while the remaining core complex chiplets form the CPU for the host. In this manner, rather than the accelerator and the CPU having independent computer resources, the accelerator can be integrated into the processor system of the host so that hardware resources can be divided between the CPU and the accelerator depending on the needs of the particular application(s) executed by the host.

Abstract: An integrated circuit (IC) for adaptive memory expansion scheme is proposed, which comprises: a home agent comprising a first memory expansion pool and a second memory expansion pool; a first port connecting the home agent to a first memory expansion device, where the first memory expansion device comprises a first memory pool; a second port connecting the home agent to a second memory expansion device, where the second memory expansion device comprises a second memory pool; a first address table mapping the first memory expansion pool to the first memory pool based on a size of the first memory expansion pool or a size of the first memory pool; and a second address table mapping the second memory expansion pool to the second memory pool based on a size of the second memory expansion pool or a size of the second memory pool.

Abstract: Embodiments herein describe using an adaptive chip-to-chip (C2C) interface to interconnect two chips, wherein the adaptive C2C interface includes circuitry for performing multiple different C2C protocols to communicate with the other chip. One or both of the chips in the C2C connection can include the adaptive C2C interface. During boot time, the adaptive C2C interface is configured to perform one of the different C2C protocols. During runtime, the chip then uses the selected C2C protocol to communicate with the other chip in the C2C connection.

Abstract: An adaptive memory expansion scheme is proposed, where one or more memory expansion capable Hosts or Accelerators can have their memory mapped to one or more memory expansion devices. The embodiments below describe discovery, configuration, and mapping schemes that allow independent SCM implementations and CPU-Host implementations to match their memory expansion capabilities. As a result, a memory expansion host (e.g., a memory controller in a CPU or an Accelerator) can declare multiple logical memory expansion pools, each with a unique capacity. These logical memory pools can be matched to physical memory in the SCM cards using windows in a global address map. These windows represent shared memory for the Home Agents (HAs) (e.g., the Host) and the Slave Agent (SAs) (e.g., the memory expansion device).

Abstract: Examples herein describe a peripheral I/O device with a hybrid gateway that permits the device to have both I/O and coherent domains. As a result, the compute resources in the coherent domain of the peripheral I/O device can communicate with the host in a similar manner as CPU-to-CPU communication in the host. The dual domains in the peripheral I/O device can be leveraged for machine learning (ML) applications. While an I/O device can be used as an ML accelerator, these accelerators previously only used an I/O domain. In the embodiments herein, compute resources can be split between the I/O domain and the coherent domain where a ML engine is in the I/O domain and a ML model is in the coherent domain. An advantage of doing so is that the ML model can be coherently updated using a reference ML model stored in the host.

Abstract: Examples herein describe an accelerator device that shares the same coherent domain as hardware elements in a host computing device. The embodiments herein describe a mix of hardware and software coherency which reduces the overhead of managing data when large chunks of data are moved from the host into the accelerator device. In one embodiment, an accelerator application executing on the host identifies a data set it wishes to transfer to the accelerator device to be processed. The accelerator application transfers ownership from a home agent in the host to the accelerator device. A slave agent can then take ownership of the data. As a result, any memory operation requests received from a requesting agent in the accelerator device can gain access to the data set in local memory via the slave agent without the slave agent obtaining permission from the home agent in the host.

Abstract: In an example, a system specifies a first configuration of the physical transport network that models a plurality of devices as a corresponding first plurality of nodes having a tree topology. Each node of the first plurality of nodes has at least one first device identifier and at least one first connection identifier to other nodes in the tree topology. The system specifies a second configuration of the logical transport network that models the plurality of devices as the first plurality of nodes having a non-tree topology. Each node of the first plurality of nodes has at least one second device identifier, at least one second connection identifier to other nodes in the non-tree topology, the at least one first device identifier, and the at least one first connection identifier of the tree topology.

Abstract: Embodiments herein describe transferring ownership of data (e.g., cachelines or blocks of data comprising multiple cachelines) from a host to hardware in an I/O device. In one embodiment, the host and I/O device (e.g., an accelerator) are part of a cache-coherent system where ownership of data can be transferred from a home agent (HA) in the host to a local HA in the I/O device—e.g., a computational slave agent (CSA). That way, a function on the I/O device (e.g., an accelerator function) can request data from the local HA without these requests having to be sent to the host HA. Further, the accelerator function can indicate whether the local HA tracks the data on a cacheline-basis or by a data block (e.g., multiple cachelines). This provides flexibility that can reduce overhead from tracking the data, depending on the function's desired use of the data.

Abstract: The embodiments herein describe a virtualization framework for cache coherent accelerators where the framework incorporates a layered approach for accelerators in their interactions between a cache coherent protocol layer and the functions performed by the accelerator. In one embodiment, the virtualization framework includes a first layer containing the different instances of accelerator functions (AFs), a second layer containing accelerator function engines (AFE) in each of the AFs, and a third layer containing accelerator function threads (AFTs) in each of the AFEs. Partitioning the hardware circuitry using multiple layers in the virtualization framework allows the accelerator to be quickly re-provisioned in response to requests made by guest operation systems or virtual machines executing in a host. Further, using the layers to partition the hardware permits the host to re-provision sub-portions of the accelerator while the remaining portions of the accelerator continue to operate as normal.

Abstract: A method and a system for transparently overlaying a logical transport network over an existing physical transport network is disclosed. The system designates a virtual channel located in a first transaction layer of a network conforming to a first network protocol. The system assembles a transaction layer packet in a second logical transaction layer of a second network protocol that is also recognizable by the first transaction layer. The system transfers the transaction layer packet from the second transaction layer to the virtual channel. The system transmits the transaction layer packet over the first transaction layer using the designated virtual channel over the network.