Abstract: In an embodiment, a processor comprises: an execution circuit to execute instructions; at least one cache memory coupled to the execution circuit; and a table storage element coupled to the at least one cache memory, the table storage element to store a plurality of entries each to store object metadata of an object used in a code sequence. The processor is to use the object metadata to provide user space multi-object transactional atomic operation of the code sequence. Other embodiments are described and claimed.

Abstract: Techniques for automatic fusion of arithmetic in-flight instructions are described. An example apparatus comprises a buffer to store instructions to be issued to a functional unit for execution, and circuitry coupled to the buffer to combine two or more instructions from the buffer into a single combined instruction. Other examples are disclosed and claimed.

Abstract: Methods, apparatus, systems and articles of manufacture to build a storage architecture for graph data are disclosed herein. Disclosed example apparatus include a neighbor identifier to identify respective sets of neighboring vertices of a graph. The neighboring vertices included in the respective sets are adjacent to respective ones of a plurality of vertices of the graph and respective sets of neighboring vertices are represented as respective lists of neighboring vertex identifiers. The apparatus also includes an element creator to create, in a cache memory, an array of elements that are unpopulated. The array elements have lengths equal to a length of a cache line. In addition, the apparatus includes an element populater to populate the elements with neighboring vertex identifiers. Each of the elements store neighboring vertex identifiers of respective ones of the list of neighboring vertex identifiers.

Abstract: An apparatus to facilitate generating a memory bandwidth stack for visualizing memory bandwidth utilization is disclosed. The apparatus includes processors to receive data corresponding to a memory cycle occurring during a total execution time of an application executed by the one or more processors; for the memory cycle, assign the memory cycle to a component of a bandwidth stack based on analysis of the data and in accordance with a prioritization scheme; for the component, determine a portion of the bandwidth stack to account to the component based at least in part on the assignment of the memory cycle to the component; and generate the bandwidth stack by at least representing the portion accounted to the component in the bandwidth stack.

Abstract: A distributed simulation system is provided that includes a timing simulator and functional simulator(s) on different computing nodes to simulate a graph processing system. The functional simulators are to simulate execution of a set of instructions on the graph processing system and to send information associated with the simulated set of instructions to the timing simulator over the network. The timing simulator is to determine timing information associated with execution of the sets of instructions sent by the functional simulators and send the timing information to the functional simulators over the network. The timing simulator may determine a global synchronization point for the functional simulators and send the timing information for the sets of instructions to respective functional simulators at the global synchronization point. The functional simulators may stall simulation of further instructions until the timing information for its set of instructions is received from the timing simulator.

Abstract: A system simulator simulates operations of a plurality of interconnected devices in a simulation of a computing system. The system simulator implements a communication runtime in the simulation to receive a packet generated by a simulation of a first one of the plurality of devices to be sent to a simulation of a second one of the plurality of devices in the simulation. The communication runtime buffers the packet in its internal buffer and receives a query from the simulation of the second device based on buffer capacity in the simulation of the second device has capacity. The packet is sent from the communication runtime buffer to the simulation of the second device based on the query to simulate transmission of the packet from the first device to the second device on a link.

Abstract: A distributed simulation system is provided that includes a plurality of computing nodes interconnected via a network implementing a Message Passing Interface (MPI) protocol. Each computing node is to simulate hardware logic of a core of a graph processing system and to simulate a respective system memory portion of the graph processing system.

Abstract: Techniques and mechanisms for providing information to determine whether a software prefetch instruction is to be executed. In an embodiment, one or more entries of a translation lookaside buffer (TLB) each include a respective value which indicates whether, according to one or more criteria, corresponding data has been sufficiently utilized. Insufficiently utilized data is indicated in a TLB entry with an identifier of an executed instruction to prefetch the corresponding data. An eviction of the TLB entry results in the creation of an entry in a registry of prefetch instructions. The entry in the registry includes the identifier of the executed prefetch instruction, and a value indicating a number of times that one or more future prefetch instructions are to be dropped. In another embodiment, execution of a subsequent prefetch instruction—which also corresponds to the identifier—is prevented based on the registry entry.

Abstract: In an embodiment, a processor includes a fetch circuit to fetch instructions, the instructions including a code prefetch instruction; a decode circuit to decode the code prefetch instruction and provide the decoded code prefetch instruction to a memory circuit, the memory circuit to execute the decoded code prefetch instruction to prefetch a first set of code blocks into a first cache and to prefetch a second set of code blocks into a second cache. Other embodiments are described and claimed.

Abstract: Methods and apparatus relating to one or more delayed cache writeback instructions for improved data sharing in manycore processors are described. In an embodiment, a delayed cache writeback instruction causes a cache block in a modified state in a Level 1 (L1) cache of a first core of a plurality of cores of a multi-core processor to a Modified write back (M.wb) state. The M.wb state causes the cache block to be written back to LLC upon eviction of the cache block from the L1 cache. Other embodiments are also disclosed and claimed.

Abstract: In an embodiment, a processor comprises: an execution circuit to execute instructions; at least one cache memory coupled to the execution circuit; and a table storage element coupled to the at least one cache memory, the table storage element to store a plurality of entries each to store object metadata of an object used in a code sequence. The processor is to use the object metadata to provide user space multi-object transactional atomic operation of the code sequence. Other embodiments are described and claimed.

Abstract: Apparatus, method, and system for enhancing data prefetching based on non-uniform memory access (NUMA) characteristics are described herein. An apparatus embodiment includes a system memory, a cache, and a prefetcher. The system memory includes multiple memory regions, at least some of which are associated with different NUMA characteristic (access latency, bandwidth, etc.) than others. Each region is associated with its own set of prefetch parameters that are set in accordance to their respective NUMA characteristics. The prefetcher monitors data accesses to the cache and generates one or more prefetch requests to fetch data from the system memory to the cache based on the monitored data accesses and the set of prefetch parameters associated with the memory region from which data is to be fetched. The set of prefetcher parameters may include prefetch distance, training-to-stable threshold, and throttle threshold.

Abstract: Embodiments of apparatuses, methods, and systems for code prefetching are described. In an embodiment, an apparatus includes an instruction decoder, load circuitry, and execution circuitry. The instruction decoder is to decode a code prefetch instruction. The code prefetch instruction is to specify a first instruction to be prefetched. The load circuitry to prefetch the first instruction in response to the decoded code prefetch instruction. The execution circuitry is to execute the first instruction at a fetch stage of a pipeline.

Abstract: In one embodiment, an apparatus includes a memory access circuit to receive memory access instructions and provide at least some of the memory access instructions to a memory subsystem for execution. The memory access circuit may have a conversion circuit to convert the first memory access instruction to a first subline memory access instruction, e.g., based at least in part on an access history for a first memory access instruction. Other embodiments are described and claimed.

Abstract: Embodiment of this disclosure provides a mechanism to store cache lines in dedicated cache of an idle core. In one embodiment, a multi-core processor comprising a first core, a second core, a first cache, a second cache, a third cache, and a cache controller unit is provided. The cache controller is operatively coupled to at least the first cache, the second cache, and the third cache. The cache controller is to evict a first line from the first cache, wherein the first core is in an active state. Responsive to the evicting of the first line, the first line is stored in the third cache. Responsive to storing the first line, a second line is evicted from the third cache. Responsive to evicting the second line, the second line is stored in the second cache when the second core is in an idle state.

Abstract: Apparatus, method, and system for enhancing data prefetching based on non-uniform memory access (NUMA) characteristics are described herein. An apparatus embodiment includes a system memory, a cache, and a prefetcher. The system memory includes multiple memory regions, at least some of which are associated with different NUMA characteristic (access latency, bandwidth, etc.) than others. Each region is associated with its own set of prefetch parameters that are set in accordance to their respective NUMA characteristics. The prefetcher monitors data accesses to the cache and generates one or more prefetch requests to fetch data from the system memory to the cache based on the monitored data accesses and the set of prefetch parameters associated with the memory region from which data is to be fetched. The set of prefetcher parameters may include prefetch distance, training-to-stable threshold, and throttle threshold.

Abstract: Disclosed embodiments relate to an indirect memory fetch (IMF) unit. In one example, an apparatus includes circuitry to fetch and decode an instruction specifying a sparse operand array including N operands, and an index array including N contiguously-addressed indices. The apparatus further includes a processing engine associated with an IMF unit to respond to the decoded instruction by initializing the IMF unit to fetch the N operands in order, probing the IMF unit to determine that a fetched operand is ready to retrieve, retrieving the fetched operand from the IMF unit, and repeating the probing and retrieving until all N operands have been retrieved. The IMF unit, independent of the processing engine, is to fetch the N contiguously-addressed indices from the index array, use the N fetched indices to calculate memory addresses for the N operands, and issue a plurality of read requests to fetch the N operands in order.

Abstract: In one embodiment, an apparatus includes a memory access circuit to receive memory access instructions and provide at least some of the memory access instructions to a memory subsystem for execution. The memory access circuit may have a conversion circuit to convert the first memory access instruction to a first subline memory access instruction, e.g., based at least in part on an access history for a first memory access instruction. Other embodiments are described and claimed.

Abstract: Apparatus, method, and system for enhancing data prefetching based on non-uniform memory access (NUMA) characteristics are described herein. An apparatus embodiment includes a system memory, a cache, and a prefetcher. The system memory includes multiple memory regions, at least some of which are associated with different NUMA characteristic (access latency, bandwidth, etc.) than others. Each region is associated with its own set of prefetch parameters that are set in accordance to their respective NUMA characteristics. The prefetcher monitors data accesses to the cache and generates one or more prefetch requests to fetch data from the system memory to the cache based on the monitored data accesses and the set of prefetch parameters associated with the memory region from which data is to be fetched. The set of prefetcher parameters may include prefetch distance, training-to-stable threshold, and throttle threshold.

Abstract: Apparatus, method, and system for enhancing data prefetching based on non-uniform memory access (NUMA) characteristics are described herein. An apparatus embodiment includes a system memory, a cache, and a prefetcher. The system memory includes multiple memory regions, at least some of which are associated with different NUMA characteristic (access latency, bandwidth, etc.) than others. Each region is associated with its own set of prefetch parameters that are set in accordance to their respective NUMA characteristics. The prefetcher monitors data accesses to the cache and generates one or more prefetch requests to fetch data from the system memory to the cache based on the monitored data accesses and the set of prefetch parameters associated with the memory region from which data is to be fetched. The set of prefetcher parameters may include prefetch distance, training-to-stable threshold, and throttle threshold.