Abstract: Mechanisms are provided for arranging binary code to reduce instruction cache conflict misses. These mechanisms generate a call graph of a portion of code. Nodes and edges in the call graph are weighted to generate a weighted call graph. The weighted call graph is then partitioned according to the weights, affinities between nodes of the call graph, and the size of cache lines in an instruction cache of the data processing system, so that binary code associated with one or more subsets of nodes in the call graph are combined into individual cache lines based on the partitioning. The binary code corresponding to the partitioned call graph is then output for execution in a computing device.

Abstract: Mechanisms are provided for arranging binary code to reduce instruction cache conflict misses. These mechanisms generate a call graph of a portion of code. Nodes and edges in the call graph are weighted to generate a weighted call graph. The weighted call graph is then partitioned according to the weights, affinities between nodes of the call graph, and the size of cache lines in an instruction cache of the data processing system, so that binary code associated with one or more subsets of nodes in the call graph are combined into individual cache lines based on the partitioning. The binary code corresponding to the partitioned call graph is then output for execution in a computing device.

Abstract: Mechanisms are provided for arranging binary code to reduce instruction cache conflict misses. These mechanisms generate a call graph of a portion of code. Nodes and edges in the call graph are weighted to generate a weighted call graph. The weighted call graph is then partitioned according to the weights, affinities between nodes of the call graph, and the size of cache lines in an instruction cache of the data processing system, so that binary code associated with one or more subsets of nodes in the call graph are combined into individual cache lines based on the partitioning. The binary code corresponding to the partitioned call graph is then output for execution in a computing device.

Abstract: Mechanisms are provided for arranging binary code to reduce instruction cache conflict misses. These mechanisms generate a call graph of a portion of code. Nodes and edges in the call graph are weighted to generate a weighted call graph. The weighted call graph is then partitioned according to the weights, affinities between nodes of the call graph, and the size of cache lines in an instruction cache of the data processing system, so that binary code associated with one or more subsets of nodes in the call graph are combined into individual cache lines based on the partitioning. The binary code corresponding to the partitioned call graph is then output for execution in a computing device.

Abstract: Mechanisms are provided for arranging binary code to reduce instruction cache conflict misses. These mechanisms generate a call graph of a portion of code. Nodes and edges in the call graph are weighted to generate a weighted call graph. The weighted call graph is then partitioned according to the weights, affinities between nodes of the call graph, and the size of cache lines in an instruction cache of the data processing system, so that binary code associated with one or more subsets of nodes in the call graph are combined into individual cache lines based on the partitioning. The binary code corresponding to the partitioned call graph is then output for execution in a computing device.

Abstract: Mechanisms are provided for arranging binary code to reduce instruction cache conflict misses. These mechanisms generate a call graph of a portion of code. Nodes and edges in the call graph are weighted to generate a weighted call graph. The weighted call graph is then partitioned according to the weights, affinities between nodes of the call graph, and the size of cache lines in an instruction cache of the data processing system, so that binary code associated with one or more subsets of nodes in the call graph are combined into individual cache lines based on the partitioning. The binary code corresponding to the partitioned call graph is then output for execution in a computing device.

Abstract: Mechanisms are provided for arranging binary code to reduce instruction cache conflict misses. These mechanisms generate a call graph of a portion of code. Nodes and edges in the call graph are weighted to generate a weighted call graph. The weighted call graph is then partitioned according to the weights, affinities between nodes of the call graph, and the size of cache lines in an instruction cache of the data processing system, so that binary code associated with one or more subsets of nodes in the call graph are combined into individual cache lines based on the partitioning. The binary code corresponding to the partitioned call graph is then output for execution in a computing device.

Abstract: The present disclosure relates generally to a dedicated memory structure (that is, hardware device) holding data for detecting available worker thread(s) and informing available worker thread(s) of task(s) to execute.

Abstract: Mechanisms are provided for arranging binary code to reduce instruction cache conflict misses. These mechanisms generate a call graph of a portion of code. Nodes and edges in the call graph are weighted to generate a weighted call graph. The weighted call graph is then partitioned according to the weights, affinities between nodes of the call graph, and the size of cache lines in an instruction cache of the data processing system, so that binary code associated with one or more subsets of nodes in the call graph are combined into individual cache lines based on the partitioning. The binary code corresponding to the partitioned call graph is then output for execution in a computing device.

Abstract: An active memory system includes a computer and an active memory device including layers of memory forming a three-dimensional memory device and individual columns of chips forming vaults in communication with a processing element and logic. The processing element is configured to communicate to the chips and other processing elements. The active memory system also includes a compiler configured to implement a method. The method includes dividing a power budget for the active memory device into a discrete number of power tokens, each of the power tokens having an equal value of units of power. The method also includes determining a power requirement for executing a code segment on the processing element of the active memory device based on characteristics of the processing element and the code segment. The method further includes allocating, to the processing element at runtime, one or more power tokens to satisfy the power requirement.

Abstract: A heterogeneous processing system includes a compiler for performing power-constrained code generation and scheduling of work in the heterogeneous processing system. The compiler produces source code that is executable by a computer. The compiler performs a method. The method includes dividing a power budget for the heterogeneous processing system into a discrete number of power tokens. Each of the power tokens has an equal value of units of power. The method also includes determining a power requirement for executing a code segment on a processing element of the heterogeneous processing system. The determining is based on characteristics of the processing element and the code segment. The method further includes allocating, to the processing element at runtime, at least one of the power tokens to satisfy the power requirement.

Abstract: A compiler implemented by a computer performs optimized division of work across heterogeneous processors. The compiler divides source code into code sections and characterizes each of the code sections based on pre-defined criteria. Each of the code sections is characterized as at least one of: allocate to a main processor, allocate to a processing element, allocate to one of a parameterized main processor and a parameterized processing element, and indeterminate. The compiler analyzes side-effects and costs of executing the code sections on allocated processors, and transforms the code sections based on results of the analyzing. The transforming includes re-characterizing the code sections for alternate execution in a runtime environment.

Abstract: Mechanisms are provided for allocating threads for execution of a parallel region of code. A request for allocation of worker threads to execute the parallel region of code is received from a master thread. Cached thread allocation information identifying prior thread allocations that have been performed for the master thread are accessed. Worker threads are allocated to the master thread based on the cached thread allocation information. The parallel region of code is executed using the allocated worker threads.

Abstract: A mechanism is provided for path-sensitive analysis for reducing rollback overheads. The mechanism receives, in a compiler, program code to be compiled to form compiled code. The mechanism divides the code into basic blocks. The mechanism then determines a restore register set for each of the one or more basic blocks to form one or more restore register sets. The mechanism then stores the one or more register sets such that responsive to a rollback during execution of the compiled code. A rollback routine identifies a restore register set from the one or more restore register sets and restores registers identified in the identified restore register set.

Abstract: Mechanisms are provided for evicting cache lines from an instruction cache of the data processing system. The mechanisms store, for a portion of code in a current cache line, a linked list of call sites that directly or indirectly target the portion of code in the current cache line. A determination is made as to whether the current cache line is to be evicted from the instruction cache. The linked list of call sites is processed to identify one or more rewritten branch instructions having associated branch stubs, that either directly or indirectly target the portion of code in the current cache line. In addition, the one or more rewritten branch instructions are rewritten to restore the one or more rewritten branch instructions to an original state based on information in the associated branch stubs.

Abstract: An active memory system includes a computer and an active memory device including layers of memory forming a three-dimensional memory device and individual columns of chips forming vaults in communication with a processing element and logic. The processing element is configured to communicate to the chips and other processing elements. The active memory system also includes a compiler configured to implement a method. The method includes dividing a power budget for the active memory device into a discrete number of power tokens, each of the power tokens having an equal value of units of power. The method also includes determining a power requirement for executing a code segment on the processing element of the active memory device based on characteristics of the processing element and the code segment. The method further includes allocating, to the processing element at runtime, one or more power tokens to satisfy the power requirement.

Abstract: A heterogeneous processing system includes a compiler for performing power-constrained code generation and scheduling of work in the heterogeneous processing system. The compiler produces source code that is executable by a computer. The compiler performs a method. The method includes dividing a power budget for the heterogeneous processing system into a discrete number of power tokens. Each of the power tokens has an equal value of units of power. The method also includes determining a power requirement for executing a code segment on a processing element of the heterogeneous processing system. The determining is based on characteristics of the processing element and the code segment. The method further includes allocating, to the processing element at runtime, at least one of the power tokens to satisfy the power requirement.

Abstract: Mechanisms are provided for rewriting branch instructions in a portion of code. The mechanisms receive a portion of source code having an original branch instruction. The mechanisms generate a branch stub for the original branch instruction. The branch stub stores information about the original branch instruction including an original target address of the original branch instruction. Moreover, the mechanisms rewrite the original branch instruction so that a target of the rewritten branch instruction references the branch stub. In addition, the mechanisms output compiled code including the rewritten branch instruction and the branch stub for execution by a computing device. The branch stub is utilized by the computing device at runtime to determine if execution of the rewritten branch instruction can be redirected directly to a target instruction corresponding to the original target address in an instruction cache of the computing device without intervention by an instruction cache runtime system.

Abstract: A compiler implemented by a computer performs optimized division of work across heterogeneous processors. The compiler divides source code into code sections and characterizes each of the code sections based on pre-defined criteria. Each of the code sections is characterized as at least one of: allocate to a main processor, allocate to a processing element, allocate to one of a parameterized main processor and a parameterized processing element, and indeterminate. The compiler analyzes side-effects and costs of executing the code sections on allocated processors, and transforms the code sections based on results of the analyzing. The transforming includes re-characterizing the code sections for alternate execution in a runtime environment.

Abstract: A compiler implemented by a computer performs optimized division of work across heterogeneous processors. The compiler divides source code into code sections and characterizes each of the code sections based on pre-defined criteria. Each of the code sections is characterized as at least one of: allocate to a main processor, allocate to a processing element, allocate to one of a parameterized main processor and a parameterized processing element, and indeterminate. The compiler analyzes side-effects and costs of executing the code sections on allocated processors, and transforms the code sections based on results of the analyzing. The transforming includes re-characterizing the code sections for alternate execution in a runtime environment.